Offline RL
32 papers
Papers per year
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1
2
7
6
4
9
1
1
'10
'20
'25
Papers
Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature
WACV 2026
Decision-Point Guided Safe Policy Improvement
AISTATS 2025
Efficient imitation learning with conservative world models
L4DC 2024
Improving Offline RL by Blending Heuristics
ICLR 2024
MADiff: Offline Multi-agent Learning with Diffusion Models
NeurIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NeurIPS 2024
Multi-Agent Domain Calibration with a Handful of Offline Data
NeurIPS 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
AAAI 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NeurIPS 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
AAAI 2024
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
Counterfactual Learning with General Data-Generating Policies
AAAI 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism
ICML 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
ICML 2023
[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue
ACL 2022
Conformal Off-Policy Prediction in Contextual Bandits
NeurIPS 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
ICML 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
COLT 2022
Off-Policy Evaluation with Deficient Support Using Side Information
NeurIPS 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning
AISTATS 2022
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling
IJCAI 2021
Deeply-Debiased Off-Policy Interval Estimation
ICML 2021