Deterministic hex-grid soccer environment with two adversarial agents. Implements Q-Learning, Minimax-Q (via LP), and Belief-Q with online belief updates; trains in SE2G/SE6G to reduce state space and evaluates behaviors in the full environment with comprehensive visualizations.
reinforcement-learning linear-programming q-learning game-theory markov-games markov-decision-process multi-agent-rl adversarial-rl minimax-q belief-q state-space-reduction
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Updated
Sep 28, 2024 - Python