机器人 / 具身智能

Explainable Reinforcement Learning Agents Using World Models

Madhuri Singh, Amal Alabdulkarim, Gennie Mansi, Mark O. Riedl

机构 * School of Interactive Computing, Georgia Institute of Technology（交互计算学院，佐治亚理工学院） 纠错

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

Comments Accepted by Workshop on Explainable Artificial Intelligence (XAI) at IJCAI 2025

CRISP: Curriculum Inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning

Utsav Singh, Vinay P. Namboodiri

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

Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration

Tyler Ga Wei Lum, Olivia Y. Lee, C. Karen Liu, Jeannette Bohg

机构 * Stanford University（斯坦福大学） 纠错

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

Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors

Yuying Zhang, Joni Pajarinen

机构 * Aalto University（阿alto大学） 纠错

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

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone

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

Comments Accepted at AAAI24

Journal ref Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Article 1759, Pages 15778 - 15786