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Deep RL

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Papers

Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning EMNLP 2025
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving EMNLP 2025
CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation CVPR 2025
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning EMNLP 2025
Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach CVPR 2025
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward CVPR 2025
Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater CVPR 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025
AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes ICCV 2025
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression CVPR 2025
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025
Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement ICCV 2025
IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation ICCV 2025
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization ICCV 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data EMNLP 2025
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision EMNLP 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning EMNLP 2025
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL EMNLP 2025
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025
REAR: Reinforced Reasoning Optimization for Event Argument Extraction with Relation-Aware Support EMNLP 2025
Token-level Proximal Policy Optimization for Query Generation EMNLP 2025
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning EMNLP 2025