CourseClub NET Udacity - Deep Reinforcement Learning Nanodegree v1 0 0

1. Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.mp48.4MB
2. Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.mp45.31MB
3. Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.mp416.5MB
4. Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp45.15MB
5. Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.mp48.46MB
6. Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp47.75MB
7. Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.mp46.97MB
8. Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.mp42.9MB
9. Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp47.36MB
10. Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp410.07MB
11. Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp44.38MB
12. Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp46.84MB
13. Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp48.05MB
14. Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp49.96MB
15. Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp414.3MB
16. Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp43.86MB
17. Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp46.82MB
18. Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp414.75MB
19. Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp45.39MB
20. Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp420.24MB
21. Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.mp42.38MB
22. Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp45.28MB
23. Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp44.14MB
24. Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp45.99MB
25. Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp46.6MB
26. Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp47.11MB
27. Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.mp41.18MB
28. Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp43.46MB
29. Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp48.29MB
30. Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp44.76MB
31. Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp41.96MB
32. Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp42.05MB
33. Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp413.73MB
34. Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.mp42.56MB
35. Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.mp44.69MB
36. Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.mp43.32MB
37. Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.mp41.05MB
38. Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.mp412.46MB
39. Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.mp413.76MB
40. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp420.67MB
41. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp43.46MB
42. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.mp42.61MB
43. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.mp43.46MB
44. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.mp42.22MB
45. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.mp416.53MB
46. Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.mp44.28MB
47. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp433.2MB
48. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp421.37MB
49. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp412.55MB
50. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.mp411.03MB
51. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.mp410.3MB
52. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.mp420.08MB
53. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp428.67MB
54. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.mp48.91MB
55. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.mp44.95MB
56. Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.mp49.91MB
57. Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.mp47.81MB
58. Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.mp47.29MB
59. Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.mp44.85MB
60. Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.mp43.54MB
61. Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp425.67MB
62. Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp448.38MB
63. Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.mp420.97MB
64. Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp417.45MB
65. Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.mp43.46MB
66. Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp45.86MB
67. Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.mp41.64MB
68. Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.mp47.2MB
69. Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.mp44.65MB
70. Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp47.16MB
71. Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.mp41.48MB
72. Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.mp43.3MB
73. Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.mp46.14MB
74. Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.mp414.64MB
75. Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.mp42.57MB
76. Part 02-Module 01-Lesson 04_Navigation/04. Getting Started-ltz2GhFv04A.mp41.58MB
77. Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.mp410.12MB
78. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp49.59MB
79. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp43.36MB
80. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp43.72MB
81. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp421.79MB
82. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4569.35KB
83. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp41.59MB
84. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp43.99MB
85. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp42.25MB
86. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp46.92MB
87. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp413.17MB
88. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp43.03MB
89. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp42.77MB
90. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp425.04MB
91. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp43.3MB
92. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp42.45MB
93. Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp43.46MB
94. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.mp44.23MB
95. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.mp42.69MB
96. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.mp44.97MB
97. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.mp41.5MB
98. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.mp421.03MB
99. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.mp42.07MB
100. Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp432.51MB
101. Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.mp47.4MB
102. Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.mp46.51MB
103. Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.mp46.52MB
104. Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.mp44.26MB
105. Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.mp49.15MB
106. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.mp43.24MB
107. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4337.4KB
108. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.mp42.93MB
109. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.mp41.7MB
110. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp417.37MB
111. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.mp45.69MB
112. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp43.27MB
113. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp45.27MB
114. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.mp41.23MB
115. Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. Pong with PPO walkthrough-XhfhR7Z01S0.mp48.34MB
116. Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp48.05MB
117. Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp46.46MB
118. Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp45.69MB
119. Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp45.84MB
120. Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp414.04MB
121. Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp416.85MB
122. Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp43.95MB
123. Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp414.97MB
124. Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp43.77MB
125. Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp423.31MB
126. Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp43.62MB
127. Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp438.55MB
128. Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp411.33MB
129. Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp47.85MB
130. Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp46.62MB
131. Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp430.37MB
132. Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp48.09MB
133. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp42.99MB
134. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp49.6MB
135. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp49.82MB
136. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp410.36MB
137. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp41.83MB
138. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp42.11MB
139. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp42.97MB
140. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp47.44MB
141. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp48.65MB
142. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp49.04MB
143. Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp48.25MB
144. Part 03-Module 01-Lesson 07_Continuous Control/04. Untitled-i2gVvXgOMnc.mp42.16MB
145. Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp417.37MB
146. Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp432.54MB
147. Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp420.63MB
148. Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp49.98MB
149. Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp48.93MB
150. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4774.91KB
151. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp44MB
152. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp44.61MB
153. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp42.73MB
154. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp44.75MB
155. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp44.65MB
156. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp45.06MB
157. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp45.87MB
158. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp42.27MB
159. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp42.89MB
160. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.mp42.58MB
161. Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp44.2MB
162. Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp46.76MB
163. Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.mp44.86MB
164. Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp46.31MB
165. Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp46.78MB
166. Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp48.02MB
167. Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp45.14MB
168. Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp426.9MB
169. Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp429.33MB
170. Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp414.23MB
171. Part 04-Module 01-Lesson 04_Collaboration and Competition/03. Untitled-kxDvrkg8ep0.mp41.48MB
172. Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp46.18MB
173. Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp44.69MB
174. Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp427.57MB
175. Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp426.59MB
176. Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp430.38MB
177. Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp48.14MB
178. Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp414.13MB
179. Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp415.65MB
180. Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.mp4982.27KB
181. Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp42.83MB
182. Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.mp44.73MB
183. Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.mp43.11MB
184. Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.mp41.88MB
185. Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp45.33MB
186. Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp41.72MB
187. Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.mp46.52MB
188. Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp43.31MB
189. Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.mp41.46MB
190. Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp45.69MB
191. Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.mp42.96MB
192. Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.mp42MB
193. Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.mp46.42MB
194. Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.mp44.9MB
195. Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.mp41.01MB
196. Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.mp47.57MB
197. Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.mp44.22MB
198. Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.mp4819.86KB
199. Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.mp41.32MB
200. Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.mp42.3MB
201. Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp43.95MB
202. Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.mp4927.05KB
203. Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.mp4394.99KB
204. Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.mp42.14MB
205. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp45.03MB
206. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.mp419.85MB
207. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.mp45.82MB
208. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.mp44.22MB
209. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.mp42.14MB
210. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp44.54MB
211. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp42.84MB
212. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp49.51MB
213. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp43.35MB
214. Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp43.49MB
215. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp413.81MB
216. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp434.58MB
217. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp428.37MB
218. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp43.32MB
219. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp427.08MB
220. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp415.94MB
221. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp414.62MB
222. Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp424.88MB
223. Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp46.03MB
224. Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp47.4MB
225. Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp45.85MB
226. Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp411.98MB
227. Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp410.49MB
228. Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp45.13MB
229. Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp46.09MB
230. Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp413.16MB
231. Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp411.65MB
232. Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp48.1MB
233. Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp42.2MB
234. Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp41.63MB
235. Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp47.96MB
236. Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp44.28MB
237. Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp410.64MB
238. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp43.25MB
239. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp47.76MB
240. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp44.26MB
241. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp426.5MB
242. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp45.37MB
243. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp43.58MB
244. Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp44.47MB
245. Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp412.76MB
246. Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp42.31MB