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