Offline RL

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning ICLR 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer IJCAI 2025 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning ICML 2025 CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning ICCV 2025 CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries ICML 2025 Clustering Context in Off-Policy Evaluation AISTATS 2025 ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization ICLR 2025 Conservative Offline Goal-Conditioned Implicit V-Learning ICML 2025 Constrain Alignment with Sparse Autoencoders ICML 2025 Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium ICML 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning ICLR 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning ICLR 2025 Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Cross-Validated Off-Policy Evaluation AAAI 2025 CUPID: Curating Data your Robot Loves with Influence Functions CoRL 2025 Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025 Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation ICML 2025 Design Considerations in Offline Preference-based RL ICML 2025 Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents ICLR 2025