机器人 / 具身智能 - arXivDaily 专题

2310.12077 2023-10-19 cs.RO cs.CV cs.LG 56%

One-Shot Imitation Learning: A Pose Estimation Perspective

Pietro Vitiello, Kamil Dreczkowski, Edward Johns

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 Published at the 7th Conference on Robot Learning (CoRL 2023). For more details please visit https://www.robot-learning.uk/pose-estimation-perspective

2202.00129 2023-07-13 cs.RO cs.AI cs.IT cs.LG math.IT math.OC 56%

Fundamental Limits for Sensor-Based Robot Control

Anirudha Majumdar, Zhiting Mei, Vincent Pacelli

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

Comments Extended version of paper presented at the 2022 Robotics: Science and Systems (RSS) conference

2305.04412 2023-05-09 cs.RO cs.AI cs.LG 56%

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander

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 2023)

2303.04327 2023-03-09 cs.RO cs.AI cs.LG 56%

Using Memory-Based Learning to Solve Tasks with State-Action Constraints

Mrinal Verghese, Chris Atkeson

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

Comments 8 pages, 3 figures, accepted to the International Conference on Robotics and Automation 2023

2302.13507 2023-02-28 cs.LG cs.AI cs.RO 56%

Active Reward Learning from Online Preferences

Vivek Myers, Erdem Bıyık, 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 11 pages, 8 figures, 1 table. Published in the 2023 IEEE International Conference on Robotics and Automation (ICRA)

2302.13132 2023-02-28 cs.AI cs.LG cs.MA cs.RO cs.SY eess.SY 56%

Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies

Qin Yang

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 the 37th AAAI Conference on Artificial Intelligence and Robotics Bridge Program. arXiv admin note: text overlap with arXiv:2208.06033

1909.06710 2022-12-29 cs.RO cs.AI cs.LG 56%

Driving in Dense Traffic with Model-Free Reinforcement Learning

Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev

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

Comments Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2020. Code available on Github at https://github.com/dhruvms/HighwayTraffic and https://github.com/dhruvms/DenseTrafficEval

2110.05415 2022-06-24 eess.SY cs.AI cs.LG cs.RO cs.SY 56%

Safe Reinforcement Learning Using Robust Control Barrier Functions

Yousef Emam, Gennaro Notomista, Paul Glotfelter, Zsolt Kira, Magnus Egerstedt

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 Robotics and Automation Letters (RA-L)

2205.02824 2022-05-06 cs.RO cs.AI cs.LG 56%

Rapid Locomotion via Reinforcement Learning

Gabriel B Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal

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 for publication at Robotics: Science and Systems (RSS) 2022

2104.14912 2022-02-21 cs.RO cs.AI cs.LG 56%

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning

Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl

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 to the 39th IEEE Conference on Robotics and Automation (ICRA). Fixed some typos

2201.07082 2022-01-19 cs.RO cs.AI cs.HC cs.LG 56%

Inducing Structure in Reward Learning by Learning Features

Andreea Bobu, Marius Wiggert, Claire Tomlin, 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 24 pages, 22 figures, accepted to the International Journal of Robotics Research. arXiv admin note: text overlap with arXiv:2006.13208

2112.12740 2021-12-24 cs.LG cs.AI cs.RO 56%

Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling

Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff Schneider, Howie Choset

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

Comments in IEEE Robotics and Automation Letters

2112.10877 2021-12-22 cs.RO cs.AI cs.LG 56%

AGPNet -- Autonomous Grading Policy Network

Chana Ross, Yakov Miron, Yuval Goldfracht, Dotan Di Castro

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

Comments 7 pages, paper submitted to IEEE International Conference on Robotics and Automation

2004.08646 2021-10-19 cs.LG cs.AI cs.RO 56%

Macro-Action-Based Deep Multi-Agent Reinforcement Learning

Yuchen Xiao, Joshua Hoffman, Christopher Amato

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

Journal ref 3rd Conference on Robot Learning (CoRL 2019)

2110.00284 2021-10-04 cs.RO cs.AI cs.LG 56%

Learning Reward Functions from Scale Feedback

Nils Wilde, Erdem Bıyık, Dorsa Sadigh, Stephen L. Smith

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 16 pages, 15 figures, 3 tables. Published at Conference on Robot Learning (CoRL) 2021

2006.14091 2021-08-05 cs.RO cs.AI cs.LG 56%

Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

Erdem Bıyık, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, 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 20 pages, 17 figures. Accepted for publication by The International Journal of Robotics Research (IJRR)

2004.11345 2021-02-03 cs.RO cs.AI cs.LG 56%

Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine

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

Journal ref IEEE Robotics and Automation Letters 2021

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

1. 模仿学习与强化学习 4134 篇

One-Shot Imitation Learning: A Pose Estimation Perspective

Fundamental Limits for Sensor-Based Robot Control

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Using Memory-Based Learning to Solve Tasks with State-Action Constraints

Active Reward Learning from Online Preferences

Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies

Driving in Dense Traffic with Model-Free Reinforcement Learning

Safe Reinforcement Learning Using Robust Control Barrier Functions

Rapid Locomotion via Reinforcement Learning

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning

Inducing Structure in Reward Learning by Learning Features

Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling

AGPNet -- Autonomous Grading Policy Network

Macro-Action-Based Deep Multi-Agent Reinforcement Learning

Learning Reward Functions from Scale Feedback

Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

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