Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networksby Yue…
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoningby Yu Fu, Jie He, Yifan Yang, Qun…
LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesisby Hamed Babaei Giglou, Jennifer D'Souza, Sören AuerFirst…
Improving Agent Behaviors with RL Fine-tuning for Autonomous Drivingby Zhenghao Peng, Wenjie Luo, Yiren Lu,…
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learningby Ya Shen, Gang Chen,…
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Rolesby…
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learningby Siyi Lu, Lei He,…
Navigation in a simplified Urban Flow through Deep Reinforcement Learningby Federica Tonti, Jean Rabault, Ricardo…
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewardsby Heejin Do, Sangwon Ryu,…
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Gamesby Liang Zhang, Justin Lieffers, Adarsh…