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News/Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
arxiv
PublishedMay 8, 2026 at 4:00 AM

Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark

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arXiv:2605.06066v1 Announce Type: cross Abstract: Causal reinforcement learning (RL) lacks benchmarks for complex systems that combine sequential decision making, hidden information, large masked action spaces, and explicit causal structure. We introduce MTG-Causal-RL, a Gymnasium benchmark built on

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