Co-occurring keywords · papers mentioning both
Papers
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
AAAI 2026
Decision-Point Guided Safe Policy Improvement
AISTATS 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning
AAAI 2025
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
ICLR 2025
Generalized Behavior Learning from Diverse Demonstrations
ICLR 2025
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
NeurIPS 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
ICML 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search
JMLR 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
ICML 2024
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
ICML 2024
Federated Ensemble-Directed Offline Reinforcement Learning
NeurIPS 2024
Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data
ICML 2024
Multi-LLM Debate: Framework, Principals, and Interventions
NeurIPS 2024
On The Statistical Complexity of Offline Decision-Making
ICML 2024
Q-value Regularized Transformer for Offline Reinforcement Learning
ICML 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
ICML 2024
Score Regularized Policy Optimization through Diffusion Behavior
ICLR 2024
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning
IJCAI 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
Behavior Proximal Policy Optimization
ICLR 2023
Boosting Offline Reinforcement Learning with Action Preference Query
ICML 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
NeurIPS 2023
Context Shift Reduction for Offline Meta-Reinforcement Learning
NeurIPS 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
ICLR 2023