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Offline RL

725 directly classified papers

Papers per year

Papers

On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback 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
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NIPS 2022
Bellman Residual Orthogonalization for Offline Reinforcement Learning NIPS 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NIPS 2022
Large-Scale Retrieval for Reinforcement Learning NIPS 2022
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning NIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NIPS 2022
A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NIPS 2022
On Gap-dependent Bounds for Offline Reinforcement Learning NIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NIPS 2022
A Closer Look at Offline RL Agents NIPS 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments 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
Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022