This project explores the application of reinforcement learning to Ludo, a stochastic multi-agent board game. I implement and compare several RL algorithms including tabular Q-learning, deep Q-networks (DQN), Dueling DQN, and rule-based heuristics.
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Updated
Dec 17, 2025 - Python