Lynda AI Algorithms for Gaming-APoLLo | Apps-Tutorials | MP4 | 281.48 MiB
639 kb/s 1280×720 | AAC 160 kb/s 2 CH
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
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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