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Papers
Necessary and Sufficient Oracles: Toward a Computational Taxonomy for Reinforcement Learning
COLT 2025
Nearly Optimal Latent State Decoding in Block MDPs
AISTATS 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
ICML 2023
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
ICML 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
NeurIPS 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
ICML 2021
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
NeurIPS 2020
Invariant Causal Prediction for Block MDPs
ICML 2020