offline learning

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL ICLR 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 The Importance of Online Data: Understanding Preference Fine-tuning via Coverage NeurIPS 2024 A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023 CEIL: Generalized Contextual Imitation Learning NeurIPS 2023 Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data ICLR 2023 Improving Behavioural Cloning with Positive Unlabeled Learning CoRL 2023 Offline Learning in Markov Games with General Function Approximation ICML 2023 PASTA: Pessimistic Assortment Optimization ICML 2023 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NeurIPS 2023 Sequential Counterfactual Risk Minimization ICML 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis NeurIPS 2022 Bidirectional Learning for Offline Infinite-width Model-based Optimization NeurIPS 2022 CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning ICLR 2022 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NeurIPS 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning RSS 2022 POETREE: Interpretable Policy Learning with Adaptive Decision Trees ICLR 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022