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

磁力链接/BT种子名称

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

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种子哈希：3d095edf6f8d906f71b9d94e407ff14310603336
文件大小： 1.19G
已经下载：740次
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收录时间：2021-03-22
最近下载：2025-07-25

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文件列表

  • 5. Tabu Search/5. Tabu search implementation II.mp4 82.1 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp4 71.5 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp4 55.5 MB
  • 5. Tabu Search/4. Tabu search implementation I.mp4 54.8 MB
  • 6. Simulated Annealing/6. Travelling salesman problem II - tour.mp4 31.3 MB
  • 5. Tabu Search/1. Tabu search introduction - basics.mp4 28.4 MB
  • 5. Tabu Search/2. Tabu search introduction - tabu tenure.mp4 27.6 MB
  • 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp4 26.2 MB
  • 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp4 25.9 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp4 25.6 MB
  • 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.mp4 25.4 MB
  • 6. Simulated Annealing/1. Simulated annealing introduction.mp4 24.8 MB
  • 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp4 24.1 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp4 24.1 MB
  • 6. Simulated Annealing/3. Simulated annealing - function extremum II.mp4 23.8 MB
  • 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp4 23.2 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp4 23.2 MB
  • 6. Simulated Annealing/5. Travelling salesman problem I - city.mp4 23.0 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp4 22.5 MB
  • 10. Tic-Tac-Toe Game/9. Minimax algorithm.mp4 22.3 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp4 21.8 MB
  • 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.mp4 21.3 MB
  • 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp4 21.0 MB
  • 5. Tabu Search/3. Tabu search illustration.mp4 20.5 MB
  • 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp4 19.7 MB
  • 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp4 19.6 MB
  • 10. Tic-Tac-Toe Game/4. Game implementation I.mp4 19.4 MB
  • 3. Basic Search Optimization Algorithms/2. Brute-force search example.mp4 18.7 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp4 18.1 MB
  • 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp4 17.4 MB
  • 10. Tic-Tac-Toe Game/8. Board implementation III.mp4 17.3 MB
  • 10. Tic-Tac-Toe Game/6. Board implementation I.mp4 17.3 MB
  • 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp4 16.8 MB
  • 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.mp4 16.6 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp4 16.6 MB
  • 3. Basic Search Optimization Algorithms/4. Stochastic search example.mp4 16.3 MB
  • 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp4 16.2 MB
  • 3. Basic Search Optimization Algorithms/6. Hill climbing example.mp4 16.1 MB
  • 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.mp4 15.9 MB
  • 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.mp4 12.8 MB
  • 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp4 12.2 MB
  • 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.mp4 10.9 MB
  • 1. Introduction/2. What is AI good for.mp4 10.8 MB
  • 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.mp4 10.4 MB
  • 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp4 10.4 MB
  • 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.mp4 10.3 MB
  • 10. Tic-Tac-Toe Game/5. Game implementation II.mp4 10.1 MB
  • 11. Course Materials (DOWNLOADS)/1.1 AI_Udemy.zip.zip 9.9 MB
  • 6. Simulated Annealing/4. Simulated annealing - function extremum III.mp4 9.8 MB
  • 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp4 9.7 MB
  • 6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp4 9.7 MB
  • 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp4 9.7 MB
  • 9. Minimax Algorithm - Game Engines/1. Game trees introduction.mp4 9.7 MB
  • 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().mp4 9.5 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp4 9.4 MB
  • 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp4 8.8 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp4 8.8 MB
  • 10. Tic-Tac-Toe Game/2. Cell.mp4 8.5 MB
  • 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp4 7.8 MB
  • 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp4 7.7 MB
  • 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp4 7.6 MB
  • 6. Simulated Annealing/2. Simulated annealing - function extremum I.mp4 7.6 MB
  • 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp4 7.3 MB
  • 10. Tic-Tac-Toe Game/1. About the game.mp4 7.2 MB
  • 10. Tic-Tac-Toe Game/3. Constants and Player.mp4 6.7 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp4 6.4 MB
  • 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp4 5.6 MB
  • 9. Minimax Algorithm - Game Engines/7. Chess problem.mp4 5.1 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp4 3.9 MB
  • 1. Introduction/1. Introduction.mp4 3.7 MB
  • 6. Simulated Annealing/6. Travelling salesman problem II - tour.vtt 13.3 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.vtt 12.5 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.vtt 12.4 kB
  • 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.vtt 12.3 kB
  • 6. Simulated Annealing/1. Simulated annealing introduction.vtt 12.2 kB
  • 6. Simulated Annealing/3. Simulated annealing - function extremum II.vtt 11.5 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.vtt 11.0 kB
  • 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.vtt 10.9 kB
  • 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.vtt 10.7 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.vtt 10.7 kB
  • 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.vtt 10.4 kB
  • 6. Simulated Annealing/5. Travelling salesman problem I - city.vtt 10.2 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).vtt 10.2 kB
  • 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.vtt 10.0 kB
  • 5. Tabu Search/5. Tabu search implementation II.vtt 9.7 kB
  • 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.vtt 9.7 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.vtt 9.6 kB
  • 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.vtt 9.3 kB
  • 10. Tic-Tac-Toe Game/9. Minimax algorithm.vtt 9.3 kB
  • 3. Basic Search Optimization Algorithms/2. Brute-force search example.vtt 9.1 kB
  • 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.vtt 9.0 kB
  • 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.vtt 9.0 kB
  • 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.vtt 8.9 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.vtt 8.4 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.vtt 8.4 kB
  • 10. Tic-Tac-Toe Game/4. Game implementation I.vtt 8.3 kB
  • 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.vtt 8.1 kB
  • 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.vtt 8.0 kB
  • 3. Basic Search Optimization Algorithms/4. Stochastic search example.vtt 8.0 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.vtt 7.9 kB
  • 5. Tabu Search/4. Tabu search implementation I.vtt 7.5 kB
  • 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.vtt 7.4 kB
  • 3. Basic Search Optimization Algorithms/6. Hill climbing example.vtt 7.4 kB
  • 10. Tic-Tac-Toe Game/6. Board implementation I.vtt 7.1 kB
  • 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.vtt 6.5 kB
  • 5. Tabu Search/1. Tabu search introduction - basics.vtt 6.5 kB
  • 5. Tabu Search/2. Tabu search introduction - tabu tenure.vtt 6.3 kB
  • 10. Tic-Tac-Toe Game/8. Board implementation III.vtt 6.0 kB
  • 5. Tabu Search/3. Tabu search illustration.vtt 6.0 kB
  • 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.vtt 5.8 kB
  • 1. Introduction/2. What is AI good for.vtt 5.6 kB
  • 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.vtt 5.4 kB
  • 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.vtt 5.4 kB
  • 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.vtt 5.3 kB
  • 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.vtt 5.3 kB
  • 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.vtt 5.3 kB
  • 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.vtt 5.2 kB
  • 12. DISCOUNT FOR OTHER COURSES!/1. 90% OFF For Other Courses.html 5.2 kB
  • 6. Simulated Annealing/8. Travelling salesman problem IV - testing.vtt 5.1 kB
  • 6. Simulated Annealing/4. Simulated annealing - function extremum III.vtt 5.1 kB
  • 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.vtt 5.0 kB
  • 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.vtt 4.8 kB
  • 9. Minimax Algorithm - Game Engines/1. Game trees introduction.vtt 4.7 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.vtt 4.6 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.vtt 4.4 kB
  • 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.vtt 4.1 kB
  • 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.vtt 4.1 kB
  • 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.vtt 3.9 kB
  • 10. Tic-Tac-Toe Game/2. Cell.vtt 3.9 kB
  • 10. Tic-Tac-Toe Game/5. Game implementation II.vtt 3.8 kB
  • 6. Simulated Annealing/2. Simulated annealing - function extremum I.vtt 3.7 kB
  • 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().vtt 3.6 kB
  • 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.vtt 3.6 kB
  • 10. Tic-Tac-Toe Game/1. About the game.vtt 3.5 kB
  • 10. Tic-Tac-Toe Game/3. Constants and Player.vtt 3.2 kB
  • 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.vtt 2.9 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.vtt 2.9 kB
  • 9. Minimax Algorithm - Game Engines/7. Chess problem.vtt 2.5 kB
  • 1. Introduction/1. Introduction.vtt 2.0 kB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.vtt 1.9 kB
  • [FreeCourseLab.com].url 126 Bytes
  • 11. Course Materials (DOWNLOADS)/1. Course materials.html 60 Bytes

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