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Offline Reinforcement Learning

84 directly classified papers

Papers per year

Papers

Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NIPS 2024
Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NIPS 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023
Supported Value Regularization for Offline Reinforcement Learning NIPS 2023
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NIPS 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
When is Agnostic Reinforcement Learning Statistically Tractable? NIPS 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NIPS 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions NIPS 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023
Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NIPS 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NIPS 2023
Offline Reinforcement Learning as Anti-exploration AAAI 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022
State Deviation Correction for Offline Reinforcement Learning AAAI 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022