FreeCourseLab com Udemy - Artificial Intelligence I Basics and Games in Java

1. 1. Introduction/1. Introduction.mp43.55MB
2. 1. Introduction/2. What is AI good for.mp410.33MB
3. 10. Tic-Tac-Toe Game/1. About the game.mp46.83MB
4. 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp48.43MB
5. 10. Tic-Tac-Toe Game/2. Cell.mp48.15MB
6. 10. Tic-Tac-Toe Game/3. Constants and Player.mp46.37MB
7. 10. Tic-Tac-Toe Game/4. Game implementation I.mp418.54MB
8. 10. Tic-Tac-Toe Game/5. Game implementation II.mp49.66MB
9. 10. Tic-Tac-Toe Game/6. Board implementation I.mp416.47MB
10. 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().mp49.03MB
11. 10. Tic-Tac-Toe Game/8. Board implementation III.mp416.52MB
12. 10. Tic-Tac-Toe Game/9. Minimax algorithm.mp421.28MB
13. 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp43.7MB
14. 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp415.81MB
15. 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp452.93MB
16. 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp468.21MB
17. 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp46.13MB
18. 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp420.74MB
19. 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp424.42MB
20. 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp422.14MB
21. 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp422.94MB
22. 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp48.36MB
23. 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp48.95MB
24. 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp421.42MB
25. 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp417.24MB
26. 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp49.23MB
27. 3. Basic Search Optimization Algorithms/2. Brute-force search example.mp417.85MB
28. 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp49.28MB
29. 3. Basic Search Optimization Algorithms/4. Stochastic search example.mp415.53MB
30. 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp47.38MB
31. 3. Basic Search Optimization Algorithms/6. Hill climbing example.mp415.36MB
32. 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp416.59MB
33. 5. Tabu Search/1. Tabu search introduction - basics.mp427.06MB
34. 5. Tabu Search/2. Tabu search introduction - tabu tenure.mp426.35MB
35. 5. Tabu Search/3. Tabu search illustration.mp419.57MB
36. 5. Tabu Search/4. Tabu search implementation I.mp452.26MB
37. 5. Tabu Search/5. Tabu search implementation II.mp478.33MB
38. 6. Simulated Annealing/1. Simulated annealing introduction.mp423.66MB
39. 6. Simulated Annealing/2. Simulated annealing - function extremum I.mp47.27MB
40. 6. Simulated Annealing/3. Simulated annealing - function extremum II.mp422.73MB
41. 6. Simulated Annealing/4. Simulated annealing - function extremum III.mp49.36MB
42. 6. Simulated Annealing/5. Travelling salesman problem I - city.mp421.94MB
43. 6. Simulated Annealing/6. Travelling salesman problem II - tour.mp429.87MB
44. 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp423.01MB
45. 6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp49.25MB
46. 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp49.89MB
47. 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp424.97MB
48. 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp45.37MB
49. 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp47.42MB
50. 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp46.92MB
51. 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp47.29MB
52. 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp418.65MB
53. 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp411.67MB
54. 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp420.06MB
55. 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp416.05MB
56. 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp415.45MB
57. 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp418.77MB
58. 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp424.75MB
59. 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp422.17MB
60. 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.mp415.19MB
61. 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.mp424.25MB
62. 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.mp410.37MB
63. 9. Minimax Algorithm - Game Engines/1. Game trees introduction.mp49.21MB
64. 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.mp49.78MB
65. 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.mp415.82MB
66. 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.mp49.95MB
67. 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.mp412.21MB
68. 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.mp420.34MB
69. 9. Minimax Algorithm - Game Engines/7. Chess problem.mp44.89MB