Block MDPs

Block MDPs is a benchmark used to evaluate reinforcement learning algorithms in the context of reward-free exploration, focusing on the impact of different supervised learning oracles on computational complexity.

Papers using Block MDPs (2)

Necessary And Sufficient Oracles: Toward A Computational Taxonomy For Reinforcement Learning2025Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning2025