Offline RL
1,025 papers
Papers per year
2
1
1
1
2
2
3
2
6
4
10
29
64
117
148
215
233
151
34
'10
'15
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'25
Papers
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes
JMLR 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NeurIPS 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation
NeurIPS 2023
Supported Trust Region Optimization for Offline Reinforcement Learning
ICML 2023
Supported Value Regularization for Offline Reinforcement Learning
NeurIPS 2023
Survival Instinct in Offline Reinforcement Learning
NeurIPS 2023
Synthetic Experience Replay
NeurIPS 2023
The In-Sample Softmax for Offline Reinforcement Learning
ICLR 2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
ICML 2023
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
ICLR 2023
Towards Generalizable Reinforcement Learning for Trade Execution
IJCAI 2023
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
AAAI 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
NeurIPS 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning
ICML 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback
EMNLP 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
NeurIPS 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NeurIPS 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
NeurIPS 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NeurIPS 2023
Unsupervised Behavior Extraction via Random Intent Priors
NeurIPS 2023
User-Interactive Offline Reinforcement Learning
ICLR 2023
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
ICLR 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
COLT 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
ICLR 2023