Hanabi Multi-Agent Decision Making

Search-based and learning-based approaches for co-operative AI

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About This Project

Investigating search-based and learning-based approaches for decision-making in Hanabi, a co-operative, partially observable card game widely used as a benchmark for multi-agent reasoning under uncertainty. Explores both classical planning and modern RL methods.