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Offline RL

725 directly classified papers

Papers per year

Papers

Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023
An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023
Diffused Task-Agnostic Milestone Planner NIPS 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning NIPS 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning CORL 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023
Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023
Hierarchical Diffusion for Offline Decision Making ICML 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Contrastive Value Learning: Implicit Models for Simple Offline RL CORL 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