reinforcement learning

Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA ACL 2026 Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models ACL 2026 Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? CVPR 2026 Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error ACL 2026 DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search ACL 2026 DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents ACL 2026 DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing ACL 2026 DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs AAAI 2026 Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning AAAI 2026 DriveVLN: Towards Mapless Vision-and-Language Navigation in Autonomous Driving CVPR 2026 DSO: Direct Steering Optimization for Bias Mitigation CVPR 2026 d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models ACL 2026 Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry CVPR 2026 Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models ACL 2026 Duplex Rewards Optimization for Test-Time Composed Image Retrieval AAAI 2026 DVCQR: Dual-View Conversational Query Rewriting with Stage-wise Reinforcement Learning ACL 2026 Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning ACL 2026 Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026 DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training OSDI 2026 DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning L4DC 2026 EagleVision: A Dual-Stage Framework with BEV-grounding-based Chain-of-Thought for Spatial Intelligence CVPR 2026 EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving ACL 2026 Edges Compete for Trust: Group Relative Edge Optimization for Building Reconstruction from Point Clouds CVPR 2026 EE-RL: Vision Language Guided Reinforcement Learning with Explorer and Expert model for End-to-End Autonomous Driving CVPR 2026 Efficient Frame Selection for Long Video Understanding via Reinforcement Learning CVPR 2026