← Methods
Reinforcement Learning › Methods ›

Offline RL

725 directly classified papers

Papers per year

Papers

Learning to Influence Human Behavior with Offline Reinforcement Learning NIPS 2023
Conservative State Value Estimation for Offline Reinforcement Learning NIPS 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions NIPS 2023
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NIPS 2023
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NIPS 2023
Synthetic Experience Replay NIPS 2023
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NIPS 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023
When is Agnostic Reinforcement Learning Statistically Tractable? NIPS 2023
Inverse Preference Learning: Preference-based RL without a Reward Function NIPS 2023
Mutual Information Regularized Offline Reinforcement Learning NIPS 2023
Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective NIPS 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation NIPS 2023
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning CORL 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning NIPS 2023
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning IJCAI 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023
Percentile Criterion Optimization in Offline Reinforcement Learning NIPS 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization NIPS 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023
Budgeting Counterfactual for Offline RL NIPS 2023