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
'20
'25
Papers
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
ICLR 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
NeurIPS 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
ICML 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization
IJCAI 2022
Improved Algorithms for Misspecified Linear Markov Decision Processes
AISTATS 2022
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
NeurIPS 2022
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
NeurIPS 2022
Interpretable Off-Policy Learning via Hyperbox Search
ICML 2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
ICML 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
NeurIPS 2022
Large-Scale Retrieval for Reinforcement Learning
NeurIPS 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
CoRL 2022
Learning Adversarial Markov Decision Processes with Delayed Feedback
AAAI 2022
Learning Bellman Complete Representations for Offline Policy Evaluation
ICML 2022
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
CoRL 2022
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
ICML 2022
Learning Value Functions from Undirected State-only Experience
ICLR 2022
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
NeurIPS 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
NeurIPS 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NeurIPS 2022
Marginalized Operators for Off-policy Reinforcement Learning
AISTATS 2022
Markovian Interference in Experiments
NeurIPS 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
NeurIPS 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
NeurIPS 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022