Co-occurring keywords · papers mentioning both
Papers
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
AAAI 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
AAAI 2025
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
ICLR 2025
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
ICLR 2025
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
ICLR 2025
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
ICLR 2025
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
ICML 2025
Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
ICLR 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
AAAI 2025
Model-Free Offline Reinforcement Learning with Enhanced Robustness
ICLR 2025
Model Risk-sensitive Offline Reinforcement Learning
ICLR 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
ICLR 2025
Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL
ICLR 2025
Offline Hierarchical Reinforcement Learning via Inverse Optimization
ICLR 2025
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
AAAI 2025
Offline Multi-task Transfer RL with Representational Penalization
AISTATS 2025
Offline Reinforcement Learning for LLM Multi-step Reasoning
ACL 2025
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
ICLR 2025
Offline RL via Feature-Occupancy Gradient Ascent
AISTATS 2025
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
ICLR 2025
Offline Safe Reinforcement Learning Using Trajectory Classification
AAAI 2025
OGBench: Benchmarking Offline Goal-Conditioned RL
ICLR 2025
Preference Elicitation for Offline Reinforcement Learning
ICLR 2025
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
ICML 2025
Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning
ACML 2025