Reinforcement Learning

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning EMNLP 2025 VCA: Video Curious Agent for Long Video Understanding ICCV 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning EMNLP 2025 Visual-RFT: Visual Reinforcement Fine-Tuning ICCV 2025 ViUniT: Visual Unit Tests for More Robust Visual Programming CVPR 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers ICCV 2025 VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems ICLR 2025 Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration AAAI 2025 Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 WEPO: Web Element Preference Optimization for LLM-based Web Navigation AAAI 2025 What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning AAAI 2025 When2Call: When (not) to Call Tools NAACL 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 World Models with Hints of Large Language Models for Goal Achieving NAACL 2025 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024