机器人 / 具身智能

Task-Agnostic Learning to Accomplish New Tasks

Xianqi Zhang, Xingtao Wang, Xu Liu, Wenrui Wang, Xiaopeng Fan, Debin Zhao

机构 * Faculty of Computing, Harbin Institute of Technology（计算机学院，哈尔滨工业大学） ； Peng Cheng Laboratory（鹏城实验室） ； Harbin Institute of Technology Suzhou Research Institute（哈尔滨工业大学苏州研究院） 纠错

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

Comments 14 pages, 10 figures, Accepted by IEEE-TCDS

Symbolic Runtime Verification and Adaptive Decision-Making for Robot-Assisted Dressing

Yasmin Rafiq, Gricel Vázquez, Radu Calinescu, Sanja Dogramadzi, Robert M Hierons

机构 * Department of Computer Science（计算机科学系） ； University of Manchester（曼彻斯特大学） ； University of York（约克大学） ； School of Electrical and Electronic Engineering（电子与电气工程学院） ； The University of Sheffield（谢菲尔德大学） ； School of Computer Science（计算机科学学院） 纠错

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

AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection

Roohan Ahmed Khan, Valerii Serpiva, Demetros Aschalew, Aleksey Fedoseev, Dzmitry Tsetserukou

机构 * Intelligent Space Robotics Laboratory（智能空间机器人实验室） ； Center for Digital Engineering（数字工程中心） ； Skolkovo Institute of Science and Technology（斯克尔科夫科学与技术研究所） 纠错

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

Comments Manuscript has been accepted at 2025 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)

Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation

Michael Elrod, Niloufar Mehrabi, Rahul Amin, Manveen Kaur, Long Cheng, Jim Martin, Abolfazl Razi

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

Comments 6 pages, 7 figures, Accepted to the 2025 IEEE International Conference on Communications Workshops (ICC Workshops)

Speech-to-Trajectory: Learning Human-Like Verbal Guidance for Robot Motion

Eran Beeri Bamani, Eden Nissinman, Rotem Atari, Nevo Heimann Saadon, Avishai Sintov

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

Energy Efficient Planning for Repetitive Heterogeneous Tasks in Precision Agriculture

Shuangyu Xie, Ken Goldberg, Dezhen Song

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

Comments ICRA 2025

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents

Jaymari Chua, Chen Wang, Lina Yao

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

Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity

Lisa Coiffard, Paul Templier, Antoine Cully

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

A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning

Hendrik Scheidel, Camilo Gonzalez, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady Mohamed, Saeid Nahavandi

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

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL

Claas A Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski

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

A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior

Nikil Jayasuriya, Deshan Sumanathilaka

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

Comments 6 pages, 2 figures, 1 table

Reinforcement Learning for Adaptive Planner Parameter Tuning: A Perspective on Hierarchical Architecture

Lu Wangtao, Wei Yufei, Xu Jiadong, Jia Wenhao, Li Liang, Xiong Rong, Wang Yue

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

Feature Selection Based on Reinforcement Learning and Hazard State Classification for Magnetic Adhesion Wall-Climbing Robots

Zhen Ma, He Xu, Jielong Dou, Yi Qin, Xueyu Zhang

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

Comments 21 pages, 11 figures, manuscript for Journal of Autonomous Robots

Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better

Meng Song

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

DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning

Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, Jun Zhu

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

Comments Project page: https://zhaorw02.github.io/DeepMesh/

A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents

Andrew Liu, Alla Borisyuk

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

Offline Hierarchical Reinforcement Learning via Inverse Optimization

Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues

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

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Weiqiang Jin, Hongyang Du, Biao Zhao, Xingwu Tian, Bohang Shi, Guang Yang

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

Comments 54 pages, 24 figures

Trinity: A Modular Humanoid Robot AI System

Jingkai Sun, Qiang Zhang, Gang Han, Wen Zhao, Zhe Yong, Yan He, Jiaxu Wang, Jiahang Cao, Yijie Guo, Renjing Xu

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

PrefMMT: Modeling Human Preferences in Preference-based Reinforcement Learning with Multimodal Transformers

Dezhong Zhao, Ruiqi Wang, Dayoon Suh, Taehyeon Kim, Ziqin Yuan, Byung-Cheol Min, Guohua Chen

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

Agent models: Internalizing Chain-of-Action Generation into Reasoning models

Yuxiang Zhang, Yuqi Yang, Jiangming Shu, Xinyan Wen, Jitao Sang

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

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin

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

Comments Code and models are released at: https://maverickren.github.io/VideoWorld.github.io/

DreamerV3 for Traffic Signal Control: Hyperparameter Tuning and Performance

Qiang Li, Yinhan Lin, Qin Luo, Lina Yu

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

Comments 14 pages, 9 figures

Self-training superconducting neuromorphic circuits using reinforcement learning rules

M. L. Schneider, E. M. Jué, M. R. Pufall, K. Segall, C. W. Anderson

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

Comments 15 pages, 6 figures

Journal ref npj Unconventional Computing. 2, 5 (2025)

Catching Spinning Table Tennis Balls in Simulation with End-to-End Curriculum Reinforcement Learning

Xiaoyi Hu, Yue Mao, Gang Wang, Qingdu Li, Jianwei Zhang, Yunfeng Ji

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

Offline Reinforcement Learning with Domain-Unlabeled Data

Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama

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

Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces

Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi, Fatemeh Nourzad, Eylem Ekici, Ness B. Shroff

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

To the Max: Reinventing Reward in Reinforcement Learning

Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt

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

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49455-49470, 2024

Quantitative Trading using Deep Q Learning

Soumyadip Sarkar

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

Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality

Andrew Rosemberg, Alexandre Street, Davi M. Valladão, Pascal Van Hentenryck

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

Comments 8 Main Pages, 8 Appendices, 7 Figures