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Offline RL

725 directly classified papers

Papers per year

Papers

Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023
Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023
Hierarchical Diffusion for Offline Decision Making ICML 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023
Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023
Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs NIPS 2023
Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023
Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023
Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation NIPS 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023
Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023
Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning NIPS 2023