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cs.AI2026
Towards the Automatic Synthesis of Interpretable Chess Tactics
Abhijeet Krishnan, Chris Martens
State-of-the-art reinforcement learning agents are capable of outperforming human experts at games like chess, Go and StarCraft II. These agents do not simply take advantage of the…
cs.AI2026
Learning Explainable Representations of Complex Game-playing Strategies
Abhijeet Krishnan, Colin M. Potts, Arnav Jhala +3
As part of learning to play complex games, human players develop develop abstractions for concepts and strategies of gameplay consistent with game rules to improve their performanc…