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offline reinforcement learning

492 papers

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Also known as

OFFLINE RL ORL

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

Model-Based Offline Planning with Trajectory Pruning IJCAI 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
State Deviation Correction for Offline Reinforcement Learning AAAI 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems NIPS 2022
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression NIPS 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NIPS 2022
When does return-conditioned supervised learning work for offline reinforcement learning? NIPS 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning NIPS 2022
Bellman Residual Orthogonalization for Offline Reinforcement Learning NIPS 2022
A Closer Look at Offline RL Agents NIPS 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NIPS 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NIPS 2022
Masked Autoencoding for Scalable and Generalizable Decision Making NIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
On Gap-dependent Bounds for Offline Reinforcement Learning NIPS 2022
GriddlyJS: A Web IDE for Reinforcement Learning NIPS 2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NIPS 2022
A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022
MoCoDA: Model-based Counterfactual Data Augmentation NIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NIPS 2022
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning NIPS 2022