~/talk

Getting started with open source game playing AIs

Talkat FOSSASIA Summit 2017 · 2017-03-17..03-19· [machine-learning]
slides:none on file

Stockfish is an open source C++ engine ranked at about 3.3k Elo and wins by running thousands of self-play games through a distributed testing network to measure tiny heuristic tweaks. Go engines like Pachi use Monte Carlo tree search plus neural nets to sample random playouts instead of hard heuristics. A Java GPLv3 project implements Magic the Gathering with a UI and handles hidden hands by sampling hidden-information (randomly instantiating unknown cards) so simulations can run and the AI makes decisions.

AI-written summary · about

  1. 0:00Introduction to open source game AIs
  2. 1:01History of computer game playing
  3. 3:27Stockfish and open source chess
  4. 8:44Minimax algorithm explained
  5. 14:39Heuristics and testing in game AIs
  6. 16:26AlphaGo and Monte Carlo tree search
  7. 22:45Hidden information in card games
  8. 26:56Summary and open source projects
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