offline learning

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation AAAI 2026 SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026 Stochastic Safe Action Model Learning COLT 2026 Adaptive Preference Optimization with Uncertainty-aware Utility Anchor EMNLP 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025 Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning ICML 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 Learning to Reuse Policies in State Evolvable Environments ICML 2025 Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025 Meta-Black-Box-Optimization through Offline Q-function Learning ICML 2025 MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization ACL 2025 Offline Learning for Combinatorial Multi-armed Bandits ICML 2025 PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation AAAI 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination ICML 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024