机器人 / 具身智能

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Fangqi Zhu, Zhengyang Yan, Zicong Hong, Quanxin Shou, Xiao Ma, Song Guo

机构 * Hong Kong University of Science and Technology（香港科学与技术大学） ； ByteDance Seed（字节跳动种子） 纠错

专题命中 模仿学习与强化学习 ：world model(title,abstract)；manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Comments project website: https://wm-po.github.io

UMIGen: A Unified Framework for Egocentric Point Cloud Generation and Cross-Embodiment Robotic Imitation Learning

Yan Huang, Shoujie Li, Xingting Li, Wenbo Ding

机构 * Shenzhen International Graduate School, Tsinghua University（深圳国际研究生院，清华大学） 纠错

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO

Evolutionary Policy Optimization

Jianren Wang, Yifan Su, Abhinav Gupta, Deepak Pathak

专题命中 模仿学习与强化学习 ：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments Website at https://yifansu1301.github.io/EPO/

Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning

Chuhao Qin, Evangelos Pournaras

机构 * School of Computer Science, University of Leeds（利兹大学计算机科学学院） 纠错

专题命中 模仿学习与强化学习 ：navigation(abstract)；分类 cs.RO、cs.LG

Comments 23 pages, 16 figures, accepted by Applied Soft Computing

Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning

Zhuhui Li, Chunbo Luo, Liming Huang, Luyu Qi, Geyong Min

专题命中 模仿学习与强化学习 ：robotic(abstract)；分类 cs.AI