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offline reinforcement learning

492 papers

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Also known as

MORL O2O CQL-PRIOR OSRL ORDC OFFLINE RL RVS OMRL OOD ORL RL

Co-occurring keywords

policy optimization (630) policy learning (699) model-based reinforcement learning (415) value function (294) sample complexity (1158) deep reinforcement learning (903) imitation learning (741) distribution shift (711) markov decision process (788) reinforcement learning (4122)

Papers

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics ICML 2022
Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations ICML 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022
Online Decision Transformer ICML 2022
Corruption-robust Offline Reinforcement Learning AISTATS 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022
Behavior Transformers: Cloning $k$ modes with one stone NIPS 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022
Offline Reinforcement Learning for Visual Navigation CORL 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks CORL 2022
Offline Reinforcement Learning at Multiple Frequencies CORL 2022
Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability COLT 2022
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022
Offline Policy Selection under Uncertainty AISTATS 2022
d3rlpy: An Offline Deep Reinforcement Learning Library JMLR 2022
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation ICML 2022
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022
Model Selection in Batch Policy Optimization ICML 2022
Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022