机器人 / 具身智能 - arXivDaily 专题

2412.04074 2025-01-03 cs.NI cs.LG 57%

Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach

Xiaowen Ye, Yuyi Mao, Xianghao Yu, Shu Sun, Liqun Fu, Jie Xu

机构 * City University of Hong Kong（香港城市大学）； The Hong Kong Polytechnic University（香港理工大学）； Shanghai Jiao Tong University（上海交通大学）； Xiamen University（厦门大学）； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））； Shenzhen Future Network of Intelligence Institute（深圳未来智能网络研究院）； Guangdong Provincial Key Laboratory of Future Networks of Intelligence（广东省未来智能网络重点实验室）

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

Comments submitted for an IEEE publication

2501.00381 2025-01-03 cs.LG stat.ML 57%

Toward Information Theoretic Active Inverse Reinforcement Learning

Ondrej Bajgar, Sid William Gould, Rohan Narayan Langford Mitta, Jonathon Liu, Oliver Newcombe, Jack Golden

机构 * University of Oxford（牛津大学）； Alan Turing Institute（阿兰·图灵研究所）

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

Comments NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty

2406.10892 2025-01-03 cs.LG 57%

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning

Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Vinay P Namboodiri, Amrit Singh Bedi

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

Comments This paper is subsumed by a later paper of ours: arXiv:2411.00361

2408.10215 2024-12-31 cs.LG cs.SY eess.SY 57%

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications

Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Hadi Salloum, Pavel Osinenko

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

Comments 28 pages, 33 figures

2412.13106 2024-12-30 cs.LG 57%

Active Reinforcement Learning Strategies for Offline Policy Improvement

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru

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

Comments AAAI 2025

2412.17344 2024-12-24 cs.LG 57%

Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets

Akane Tsuboya, Yu Kono, Tatsuji Takahashi

机构 * Tokyo Denki University（东京电机大学）

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

Comments Accepted by AROB-ISBC 2025

2411.10336 2024-12-23 cs.RO 57%

BMP: Bridging the Gap between B-Spline and Movement Primitives

Weiran Liao, Ge Li, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）

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

2311.16948 2024-12-23 cs.RO 57%

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight

Robin Ferede, Christophe De Wagter, Dario Izzo, Guido C. H. E. de Croon

机构 * Delft University of Technology（代尔夫特理工大学）； European Space Agency（欧洲空间局）

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

Comments 6 pages, 6 figures, 1 table

2407.20041 2024-12-20 cs.RO cond-mat.soft 57%

Counterfactual rewards promote collective transport using individually controlled swarm microrobots

Veit-Lorenz Heuthe, Emanuele Panizon, Hongri Gu, Clemens Bechinger

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

Comments 34 pages, 7 figures

2409.05622 2024-12-17 cs.LG 57%

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies

Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai

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

2412.00154 2024-12-11 cs.SE cs.AI 57%

o1-Coder: an o1 Replication for Coding

Yuxiang Zhang, Shangxi Wu, Yuqi Yang, Jiangming Shu, Jinlin Xiao, Chao Kong, Jitao Sang

机构 * School of Computer Science and Technology（计算机科学与技术学院）； Beijing Jiaotong University（北京交通大学）

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

2406.00960 2024-12-06 cs.GR cs.RO 57%

PDP: Physics-Based Character Animation via Diffusion Policy

Takara E. Truong, Michael Piseno, Zhaoming Xie, C. Karen Liu

机构 * Stanford University（斯坦福大学）

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

Journal ref In SIGGRAPH Asia 2024 Conference Papers (Article No. 86, 10 pages)

2412.01036 2024-12-03 cs.RO 57%

Generating Freeform Endoskeletal Robots

Muhan Li, Lingji Kong, Sam Kriegman

机构 * Northwestern University（西北大学）

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

2411.16262 2024-11-26 cs.AI q-bio.NC 57%

Probing for Consciousness in Machines

Mathis Immertreu, Achim Schilling, Andreas Maier, Patrick Krauss

机构 * FAU Erlangen-Nürnberg（埃尔朗根-纽伦堡大学）； University Hospital Erlangen（埃尔朗根大学医院）

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

2308.12762 2024-11-26 cs.RO cs.NE 57%

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

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

2301.10292 2024-11-26 cs.NE cs.AI 57%

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network

Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu

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

Comments Published in Machine Intelligence Research

Journal ref Machine Intelligence Research 2023, vol. 21, no. 5, pp. 906-918. https://link.springer.com/article/10.1007/s11633-023-1481-1

2411.14375 2024-11-22 cs.LG cs.LO 57%

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!

Rong Gu

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

Comments In Proceedings FMAS2024, arXiv:2411.13215

Journal ref EPTCS 411, 2024, pp. 160-177

2411.08392 2024-11-14 cs.AI 57%

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm

Geetansh Kalra, Divye Singh, Justin Jose

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

2411.00867 2024-11-05 cs.LG 57%

Mechanistic Interpretability of Reinforcement Learning Agents

Tristan Trim, Triston Grayston

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

2410.23419 2024-11-01 cs.LG 57%

Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode

Philipp Gassert, Matthias Althoff

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

2410.22459 2024-10-31 cs.AI 57%

Predicting Future Actions of Reinforcement Learning Agents

Stephen Chung, Scott Niekum, David Krueger

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

Comments 16 pages, 8 figures

2409.02383 2024-10-29 cs.RO 57%

Reinforcement Learning for Wheeled Mobility on Vertically Challenging Terrain

Tong Xu, Chenhui Pan, Xuesu Xiao

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

2405.13629 2024-10-29 cs.LG 57%

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

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

Comments Published at NeurIPS 2024. Code: https://github.com/ChienFeng-hub/meow

2103.10098 2024-10-28 cs.RO 57%

Reward Signal Design for Autonomous Racing

Benjamin Evans, Herman A. Engelbrecht, Hendrik W. Jordaan

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

Comments 6 pages, 10 Figures, This work has been submitted to the IEEE for possible publication

2103.01296 2024-10-28 cs.RO 57%

Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering

Mythra V. Balakuntala, Upinder Kaur, Xin Ma, Juan Wachs, Richard M. Voyles

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

Comments Accepted at IEEE ICRA 2021. This work has been submitted to the IEEE for possible publication

2403.13093 2024-10-27 cs.MA cs.RO 57%

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems

Anthony Goeckner, Yueyuan Sui, Nicolas Martinet, Xinliang Li, Qi Zhu

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

Comments This work has been submitted to the IEEE for possible publication

2410.17898 2024-10-24 cs.LG cs.MA 57%

Scalable Offline Reinforcement Learning for Mean Field Games

Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie Neubauer, Radu Grosu

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

Comments Submitted to AAMAS

2409.05289 2024-10-23 cs.RO cs.SY eess.SY 57%

Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Mingyan Zhou, Biao Wang, Tian Tan, Xiatao Sun

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

Comments 6 pages, 8 figures

2406.02258 2024-10-22 cs.LG stat.ML 57%

Reinforcement Learning with Lookahead Information

Nadav Merlis

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

Comments Accepted to NeurIPS 2024

2312.11084 2024-10-22 cs.RO cs.MA 57%

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

Min Hua, Dong Chen, Xinda Qi, Kun Jiang, Zemin Eitan Liu, Quan Zhou, Hongming Xu

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

1. 模仿学习与强化学习 4134 篇

Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach

Toward Information Theoretic Active Inverse Reinforcement Learning

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications

Active Reinforcement Learning Strategies for Offline Policy Improvement

Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets

BMP: Bridging the Gap between B-Spline and Movement Primitives

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight

Counterfactual rewards promote collective transport using individually controlled swarm microrobots

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies

o1-Coder: an o1 Replication for Coding

PDP: Physics-Based Character Animation via Diffusion Policy

Generating Freeform Endoskeletal Robots

Probing for Consciousness in Machines

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm

Mechanistic Interpretability of Reinforcement Learning Agents

Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode

Predicting Future Actions of Reinforcement Learning Agents

Reinforcement Learning for Wheeled Mobility on Vertically Challenging Terrain

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Reward Signal Design for Autonomous Racing

Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems

Scalable Offline Reinforcement Learning for Mean Field Games

Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Reinforcement Learning with Lookahead Information

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects