reinforcement learning

Discovering Options That Minimize Average Planning Time AAAI 2025 Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding RSS 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025 DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control IJCAI 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent ICLR 2025 Diversity-Aware Reinforcement Learning for de novo Drug Design IJCAI 2025 Diversity-Rewarded CFG Distillation ICLR 2025 DiWA: Diffusion Policy Adaptation with World Models CoRL 2025 DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding ICCV 2025 Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025 Domain Randomization is Sample Efficient for Linear Quadratic Control L4DC 2025 Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL ICLR 2025 Doubly Optimal Policy Evaluation for Reinforcement Learning ICLR 2025 Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective ICML 2025 DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics ACL 2025 DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization EMNLP 2025 DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge ICML 2025 DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback AAAI 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025 Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment ICLR 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates ACL 2025 EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization ICML 2025 EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models EMNLP 2025