Papers
18 papers found
RAG-on-a-Diet: A Reinforcement Learning-Based Dynamic Resource Optimization Framework for RAG
Hongwen Ding, Yizheng Zhao
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar et al.
A Reinforcement Learning Framework for Robust and Secure LLM Watermarking
Li An, Yujian Liu, Yepeng Liu et al.
Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
Jiarui Yang, Bin Zhu, Jingjing Chen et al.
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
Jiayi Chen, Jing Li, Guiling Wang
ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing
Liangyu Chen, Yichen Xu, Jianzhe Ma et al.
DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search
Guangming Qin, Yuhao Deng, Yukun Zhao et al.
RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation
Yitian Kou, Yihe Gu, Chen Zhou et al.
CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval
Jie Lin, Lei Jiang, Zongyi Chen et al.
Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning
Shengyu Ye, Qi Liu, Hao Jiang et al.
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Meng Xu, Xinhong Chen, Zhongying Chen et al.
The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks
Andrzej Mizera, Jakub Zarzycki
Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem
Jingchen Jiang, Xuan Zhou, Jiayuan Li et al.
Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning
Liangliang Dong, Lianlei Shan, Shuaimin Li
Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
Zhuhui Li, Chunbo Luo, Liming Huang et al.
GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning
Zihong Gao, Hongjian Liang, Yuanhui Hao et al.
Circuit-Think: A Multimodal Reasoning Framework for Automated Circuit-to-Netlist Translation with Trajectory-Guided Reinforcement Learning
Yuqi Jiang, Yupeng Hu, Jinyuan Deng et al.