机器人 / 具身智能 - arXivDaily 专题

2011.11785 2020-11-25 cs.RO cs.AI cs.LG 56%

An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer

Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros, José D. P. Silva, Lucas D. Maciel, Tsang Ing Ren, Edna N. S. Barros, Pedro H. M. Braga, Hansenclever F. Bassani

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

Comments 6 pages, 9 figures, to be published in Latin American Robotics Symposium

2011.06619 2020-11-16 cs.RO cs.AI cs.LG 56%

Learning Latent Representations to Influence Multi-Agent Interaction

Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh

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

Comments Conference on Robot Learning (CoRL) 2020. Supplementary website at https://sites.google.com/view/latent-strategies/

2011.03881 2020-11-10 eess.SY cs.SY 56%

Online Multi-Objective Model-Independent Adaptive Tracking Mechanism for Dynamical Systems

Mohammed Abouheaf, Wail Gueaieb, Davide Spinello

专题命中模仿学习与强化学习：robotics(abstract,comments)

Comments 29 pages, 15 figures. The manuscript has been published in MDPI Robotics

2008.02616 2020-11-05 cs.RO cs.AI cs.LG cs.MA 56%

The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning

Jan Blumenkamp, Amanda Prorok

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

Comments Accepted to Conference on Robot Learning (CoRL) 2020. Camera-ready version incorporating rebuttal

2007.00178 2020-07-02 cs.LG cs.AI cs.RO cs.SY eess.SY stat.ML 56%

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Zhangjie Cao, Erdem Bıyık, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh

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

Comments 10 pages, 7 figures. Published at Robotics: Science and Systems (RSS) 2020

2006.13704 2020-06-25 cs.RO cs.AI cs.LG 56%

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving

Zheng Wu, Liting Sun, Wei Zhan, Chenyu Yang, Masayoshi Tomizuka

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

Comments Accepted by IEEE Robotics and Automation Letters. June 2020

2001.06627 2020-04-01 cs.LG cs.AI cs.RO 56%

Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P. How

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

Comments IEEE Robotics and Automation Letters (2020)

1910.09430 2020-02-07 cs.CV cs.LG cs.RO 56%

Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video

Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard

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

Comments Accepted at the 2020 IEEE International Conference on Robotics and Automation (ICRA). Video at https://www.youtube.com/watch?v=z8gG1k9kSqA Project page at http://robotskills.cs.uni-freiburg.de

1912.11912 2019-12-30 cs.LG cs.AI cs.RO stat.ML 56%

Quasi-Newton Trust Region Policy Optimization

Devesh Jha, Arvind Raghunathan, Diego Romeres

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

Comments 3rd Conference on Robot Learning (CoRL 2019)

1912.11121 2019-12-25 cs.CV cs.LG cs.NE cs.RO 56%

Learning to Navigate Using Mid-Level Visual Priors

Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik

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

Comments In Conference on Robot Learning, 2019. See project website and demos at http://perceptual.actor/

1912.07670 2019-12-18 cs.RO cs.AI cs.LG 56%

To Follow or not to Follow: Selective Imitation Learning from Observations

Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim

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

Comments Published at the Conference on Robot Learning (CoRL) 2019

1807.02303 2019-12-05 cs.RO cs.AI cs.LG stat.ML 56%

A survey on policy search algorithms for learning robot controllers in a handful of trials

Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret

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

Comments 21 pages, 3 figures, 4 algorithms, accepted at IEEE Transactions on Robotics

1911.06832 2019-11-19 cs.LG cs.AI cs.NE cs.RO stat.ML 56%

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning

Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra

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

Comments Accepted for the Conference on Robot Learning 2019

1910.13399 2019-10-30 cs.RO cs.AI cs.LG 56%

Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization

Matteo Turchetta, Andreas Krause, Sebastian Trimpe

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

Comments Submitted to IEEE Conference on Robotics and Automation 2020 (ICRA)

1910.07615 2019-10-18 cs.RO cs.AI cs.CV 56%

Conditional Driving from Natural Language Instructions

Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox

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

Comments Accepted by the 3rd Conference on Robot Learning, Osaka, Japan (CoRL 2019)

1910.04365 2019-10-11 cs.RO cs.AI cs.LG 56%

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Erdem Bıyık, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh

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

Comments Proceedings of the 3rd Conference on Robot Learning (CoRL), October 2019

1910.02646 2019-10-09 cs.RO cs.AI cs.LG cs.SY eess.SY 56%

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping

Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan Ratliff

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

Comments Conference on Robot Learning (CoRL), 2019

1909.03772 2019-09-12 cs.LG cs.AI cs.RO stat.ML 56%

A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle, John Hallam

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

Comments Appears in Proceedings of the Third Conference on Robot Learning (CoRL 2019). Companion source code at https://github.com/dti-research/SenseActExperiments/

1908.02999 2019-08-09 cs.RO cs.CV cs.LG cs.MA 56%

Learning Vision-based Flight in Drone Swarms by Imitation

Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano

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

Comments 8 pages, 8 figures, accepted for publication in the IEEE Robotics and Automation Letters (RA-L) on July 28, 2019. arXiv admin note: substantial text overlap with arXiv:1809.00543

1806.02501 2018-06-08 cs.RO cs.AI cs.LG 56%

Simplifying Reward Design through Divide-and-Conquer

Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan

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

Comments Robotics: Science and Systems (RSS) 2018

1711.10055 2018-03-23 cs.AI cs.LG cs.RO 56%

Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods

Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone

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

Comments Submitted to International Journal of Robotics Research; Revision 1: (i) Clarified minor technical points; (ii) Revised proof for Theorem 3 to hold under weaker assumptions; (iii) Added additional figures and expanded discussions to improve readability

1710.05958 2017-10-18 cs.LG cs.AI cs.CV 56%

Gradient-free Policy Architecture Search and Adaptation

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

专题命中模仿学习与强化学习：分类 cs.AI、cs.CV、cs.LG；robot learning(comments)

Comments Accepted in Conference on Robot Learning, 2017

1709.08430 2017-09-26 cs.RO cs.AI cs.LG 56%

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning

Giuseppe Paolo, Lei Tai, Ming Liu

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

Comments 12 pages, single column, submitted to International Journal of Robotics and Automation (IJRA)

2503.14557 2025-11-18 cs.AI cs.MA cs.RO 54%

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles

Rhys Howard, Nick Hawes, Lars Kunze

机构 * Oxford Robotics Institute, Dept. of Eng. Sci., University of Oxford（牛津大学机器人研究所）

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments 8 Pages, 5 Figures, To be published in the Proceedings of the 2025 IEEE International Conference on Robotics & Automation, Initial upload of accepted paper

Journal ref 2025 IEEE International Conference on Robotics and Automation (ICRA), Atlanta, GA, USA, 2025

2403.19946 2024-04-01 cs.RO cs.AI 54%

A Peg-in-hole Task Strategy for Holes in Concrete

André Yuji Yasutomi, Hiroki Mori, Tetsuya Ogata

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) on 30 May 2021

Journal ref 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 2205-2211

2312.16438 2024-04-01 cs.RO cs.AI 54%

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions

André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, Hiroki Mori, Tetsuya Ogata

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments Published in IEEE Robotics and Automation Letters on 08 February 2023

Journal ref IEEE Robotics and Automation Letters, vol. 8, issue 3, pp. 1834-1841, 2023

2307.05832 2023-11-21 cs.CV cs.AI 54%

Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction

Sara Hatami Gazani, Matthew Tucsok, Iraj Mantegh, Homayoun Najjaran

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.AI、cs.CV

Comments Published in IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters (RA-L), 2023

2302.07337 2023-08-28 cs.RO cs.AI cs.GT cs.MA 54%

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility

Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments Accepted to Robotics: Science and Systems, 2023. 14 pages, 13 figures, 3 tables

Journal ref Robotics: Science and Systems, 2023

2209.13220 2023-07-18 cs.RO cs.AI cs.LO 54%

Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning

Hao Zhang, Hao Wang, Zhen Kan

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.RO、cs.AI

Comments IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, 2023

2206.10101 2022-09-01 cs.LG cs.AI 54%

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy

Eiji Uchibe

专题命中模仿学习与强化学习：robotics(comments,journal_ref)；分类 cs.AI、cs.LG

Comments This is a preprint version of the paper to appear at IEEE Robotics and Automation Letters (RA-L). The final journal version is downloadable from https://doi.org/10.1109/LRA.2022.3196139

Journal ref IEEE Robotics and Automation Letters, Volume 7, Issue 4, pages 10922-10929, October, 2022

1. 模仿学习与强化学习 4116 篇

An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer

Learning Latent Representations to Influence Multi-Agent Interaction

Online Multi-Objective Model-Independent Adaptive Tracking Mechanism for Dynamical Systems

The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving

Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video

Quasi-Newton Trust Region Policy Optimization

Learning to Navigate Using Mid-Level Visual Priors

To Follow or not to Follow: Selective Imitation Learning from Observations

A survey on policy search algorithms for learning robot controllers in a handful of trials

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning

Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization

Conditional Driving from Natural Language Instructions

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping

A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

Learning Vision-based Flight in Drone Swarms by Imitation

Simplifying Reward Design through Divide-and-Conquer

Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods

Gradient-free Policy Architecture Search and Adaptation

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles

A Peg-in-hole Task Strategy for Holes in Concrete

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions

Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility

Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy