Lynda AI Algorithms for Gaming-APoLLo

Lynda AI Algorithms for Gaming-APoLLo | Apps-Tutorials | MP4 | 281.48 MiB

639 kb/s 1280×720 | AAC 160 kb/s 2 CH

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  RELEASE  Lynda.AI.Algorithms.for.Gaming-APoLLo
      URL  https://www.lynda.com/Python-tutorials/AI-Algorithms-Gaming/2825132-2.html
   SOURCE  Lynda
  UPDATED  
     DATE  4/10/2020 
 ex.FiLES  Yes
                GROUP  NOTES  Looking for eu 10gbit+
                                             xS2k19

File List (Click to Show)

6.2M	01 Introduction
3.7M	01 Introduction/001 Playing against a computer is only fun when its challenging.mp4
2.5M	01 Introduction/002 What you should know.mp4
68M	02 Turn-Based Games
8.9M	02 Turn-Based Games/001 Some history as motivation.mp4
12M	02 Turn-Based Games/002 Different types of games.mp4
4.6M	02 Turn-Based Games/003 Tree-based decision-making.mp4
6.1M	02 Turn-Based Games/004 Time complexity of brute force approaches.mp4
5.2M	02 Turn-Based Games/005 Time complexity of chess.mp4
8.9M	02 Turn-Based Games/006 The cat trap game.mp4
8.0M	02 Turn-Based Games/007 The Python setting for the cat trap.mp4
16M	02 Turn-Based Games/008 Code example_ A random cat.mp4
73M	03 The Minimax Algorithm
7.1M	03 The Minimax Algorithm/001 Minimax overview.mp4
6.9M	03 The Minimax Algorithm/002 Minimax example.mp4
6.7M	03 The Minimax Algorithm/003 The minimax algorithm.mp4
6.0M	03 The Minimax Algorithm/004 A word on complexity.mp4
17M	03 The Minimax Algorithm/005 Code example_ A perfect cat in a small world.mp4
9.0M	03 The Minimax Algorithm/006 Alpha-beta pruning.mp4
11M	03 The Minimax Algorithm/007 The alpha-beta search algorithm.mp4
11M	03 The Minimax Algorithm/008 Code example_ A pruning cat.mp4
64M	04 Depth-Limited Search
8.2M	04 Depth-Limited Search/001 Depth-limited search.mp4
14M	04 Depth-Limited Search/002 Writing good evaluation functions.mp4
3.6M	04 Depth-Limited Search/003 Is alpha-beta pruning still relevant_.mp4
12M	04 Depth-Limited Search/004 Challenge_ Write your own evaluation function.mp4
9.4M	04 Depth-Limited Search/005 Challenge solution.mp4
18M	04 Depth-Limited Search/006 Code example_ A depth-limited cat.mp4
50M	05 Iterative Deepening
7.1M	05 Iterative Deepening/001 The iterative deepening technique.mp4
12M	05 Iterative Deepening/002 Is iterative deepening a waste of time_.mp4
16M	05 Iterative Deepening/003 Code example_ An iteratively deepening cat.mp4
4.9M	05 Iterative Deepening/004 Is iterative deepening really that good_.mp4
12M	05 Iterative Deepening/005 Is alpha-beta pruning really that good_.mp4
18M	06 Fun with Optimizations
7.2M	06 Fun with Optimizations/001 The negamax algorithm.mp4
5.7M	06 Fun with Optimizations/002 Transposition tables.mp4
4.7M	06 Fun with Optimizations/003 Monte Carlo evaluation functions.mp4
4.7M	07 Conclusion
4.7M	07 Conclusion/001 Next steps.mp4
16K	Ex_Files_AI_Algorithms_Gaming.zip
282M	total

File: 001 Playing against a computer is only fun when its challenging.mp4
Size: 3858568 bytes (3.68 MiB), duration: 00:00:48, avg.bitrate: 643 kb/s
Audio: aac, 48000 Hz, stereo (und)
Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)


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Keywords: Lynda, Algorithms, for, Gaming, APoLLo
Apps-Tutorials
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