Reinforcement Learning

Offline Policy Selection under Uncertainty AISTATS 2022 Offline Reinforcement Learning as Anti-exploration AAAI 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 Offline Reinforcement Learning for Visual Navigation CoRL 2022 Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022 Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022 Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022 Offline Reinforcement Learning with Realizability and Single-policy Concentrability COLT 2022 Offline Reinforcement Learning with Value-based Episodic Memory ICLR 2022 Offline RL Policies Should Be Trained to be Adaptive ICML 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022 Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models NeurIPS 2022 Off-Policy Evaluation with Deficient Support Using Side Information NeurIPS 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022 Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 On Efficient Online Imitation Learning via Classification NeurIPS 2022 On Gap-dependent Bounds for Offline Reinforcement Learning NeurIPS 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Online Ad Hoc Teamwork under Partial Observability ICLR 2022 Online Apprenticeship Learning AAAI 2022 Online Decision Transformer ICML 2022