机器人 / 具身智能 - arXivDaily 专题

2008.10040 2022-01-26 cs.RO cs.LG 66%

Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning

Taisuke Kobayashi

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

Comments 13 pages, 13 figures

Journal ref Robotics and Autonomous Systems, 2022

2106.09203 2021-06-18 cs.LG cs.RO 66%

Learning from Demonstration without Demonstrations

Tom Blau, Gilad Francis, Philippe Morere

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

Comments International Conference on Robotics and Automation (ICRA), 2021. arXiv admin note: substantial text overlap with arXiv:2001.06940

2103.14496 2021-04-13 cs.CV cs.RO 66%

Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation

Matteo Dunnhofer, Niki Martinel, Christian Micheloni

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

Comments IEEE Robotics and Automation Letters (RA-L)

2103.05225 2021-03-31 cs.RO cs.AI 66%

A Scavenger Hunt for Service Robots

Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone

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

Comments 6 pages + references + Appendix

Journal ref the 2021 IEEE International Conference on Robotics and Automation (ICRA), May 30 - June 5, 2021, Xi'an, China

2103.02789 2021-03-23 cs.RO cs.AI 66%

Learning the Next Best View for 3D Point Clouds via Topological Features

Christopher Collander, William J. Beksi, Manfred Huber

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

Comments To be published in the 2021 IEEE International Conference on Robotics and Automation (ICRA)

2011.04709 2021-01-01 cs.LG cs.RO 66%

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach

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

Comments The first four authors have equal contribution (orders determined by dice rolling), and the last two authors have equal advising. The paper is accepted by Conference on Robot Learning (CoRL) 2020. Project videos and code link are available at https://sites.google.com/view/f-irl/home

2010.11723 2020-11-24 cs.RO cs.LG 66%

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

Letian Chen, Rohan Paleja, Matthew Gombolay

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

Comments In Proceedings of the Conference on Robot Learning (CoRL '20)

2007.15543 2020-11-20 cs.LG cs.AI stat.ML 66%

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

Prasoon Goyal, Scott Niekum, Raymond J. Mooney

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

Comments Conference on Robot Learning (CoRL), 2020

2010.09635 2020-10-20 cs.NE cs.LG cs.RO 66%

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos

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

Comments Conference on Robot Learning (CoRL) 2020, 14 pages, 7 figures

2003.02372 2020-10-19 cs.AI cs.LG 66%

Dynamic Experience Replay

Jieliang Luo, Hui Li

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

Comments 10 pages, 5 figures, presented at 2019 Conference on Robot Learning (CoRL)

Journal ref PMLR 100:1191-1200, 2020

1912.06787 2020-07-08 cs.RO cs.AI 66%

PODDP: Partially Observable Differential Dynamic Programming for Latent Belief Space Planning

Dicong Qiu, Yibiao Zhao, Chris L. Baker

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

Comments 16 pages, 6 figures, preprint

Journal ref Robotics: Science and Systems, 2020. 69.1-69.10

2005.08114 2020-05-19 cs.CV cs.AI stat.ML 66%

Mutual Information Maximization for Robust Plannable Representations

Yiming Ding, Ignasi Clavera, Pieter Abbeel

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

Comments Accepted at NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World

2004.14638 2020-05-08 cs.RO cs.CV 66%

Towards Embodied Scene Description

Sinan Tan, Huaping Liu, Di Guo, Xinyu Zhang, Fuchun Sun

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

Comments Accepted in Robotics: Science and Systems 2020

2002.09676 2020-02-25 cs.RO cs.LG cs.SY eess.SY 66%

Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion

Siddhant Gangapurwala, Alexander Mitchell, Ioannis Havoutis

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

Comments 8 pages, 8 figures, 5 tables, 1 algorithm, accepted to IEEE Robotics and Automation Letters (RA-L), January 2020 with presentation at International Conference on Robotics and Automation (ICRA) 2020

1910.09959 2019-11-18 cs.AI cs.RO 66%

Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng

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

Comments NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World (accepted after double-blind peer review). arXiv admin note: substantial text overlap with arXiv:1909.10707

1909.06153 2019-10-14 cs.LG cs.RO stat.ML 66%

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints

Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters

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

Comments Conference on Robot Learning (CoRL) 2019

1910.04537 2019-10-11 cs.RO cs.LG cs.MA stat.ML 66%

Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning

Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia

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

Comments IEEE Robotics and Automation Letters with International Conference on Robotics and Automation (ICRA) option, 2020, under review

1909.05950 2019-09-16 cs.LG cs.AI stat.ML 66%

Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning

Felix Leibfried, Jordi Grau-Moya

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

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

1904.03438 2019-08-27 cs.LG cs.AI stat.ML 66%

Reinforced Imitation in Heterogeneous Action Space

Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro

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

Comments The extended version of the work "Reinforced Imitation Learning from Observations" presented on the NeurIPS workshop "Imitation Learning and its Challenges in Robotics"

1906.06588 2019-06-18 cs.RO cs.LG 66%

Reinforcement Learning with Non-uniform State Representations for Adaptive Search

Sandeep Manjanna, Herke van Hoof, Gregory Dudek

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

Comments Published at IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY AND RESCUE ROBOTICS 2018

1906.01374 2019-06-05 cs.LG cs.AI stat.ML 66%

Autonomous Reinforcement Learning of Multiple Interrelated Tasks

Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni

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

Comments Accepted to "The 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics" (ICDL-EpiRob2019). arXiv admin note: substantial text overlap with arXiv:1905.02690

1903.00676 2019-03-05 cs.CV cs.RO 66%

OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras

G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo

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

Comments Accepted in 2019 IEEE Int'l Conf. Robotics and Automation (ICRA)

1811.06711 2018-11-19 cs.RO cs.LG 66%

An Algorithmic Perspective on Imitation Learning

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters

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

Comments 187 pages. Published in Foundations and Trends in Robotics

1805.03359 2018-11-09 cs.LG cs.AI stat.ML 66%

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent Francois-Lavet, Joelle Pineau

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

Comments Version 1 as appears in the International Conference on Learning Representations (ICLR) 2018 Workshop Track; Version 2 as appears in the Proceedings of The 2nd Conference on Robot Learning

1709.05070 2017-09-18 cs.LG cs.RO 66%

Shapechanger: Environments for Transfer Learning

Sébastien M. R. Arnold, Tsam Kiu Pun, Théo-Tim J. Denisart, Francisco J. Valero-Cuevas

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

Comments Presented at the SoCal 2017 Robotics Symposium

1608.03694 2016-10-02 cs.RO cs.LG 66%

Density Matching Reward Learning

Sungjoon Choi, Kyungjae Lee, Andy Park, Songhwai Oh

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

Comments Submitted to Workshop on Algorithmic Foundations of Robotics (WAFR)

2602.08653 2026-07-01 cs.RO 版本更新 65%

High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning

基于安全盾牌强化学习的高速度视觉飞行在杂乱环境中

Jiarui Zhang, Chengyong Lei, Chengjiang Dai, Kenghou Hoi, Lijie Wang, Zhichao Han, Fei Gao

机构 * Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University（浙江大学控制科学与工程学院工业控制技术研究所）； Differential Robotics（微分机器人）

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

AI总结提出一种结合模型安全机制的端到端强化学习框架，通过物理信息奖励和实时安全滤波器实现高速飞行与严格避障，在杂乱环境和森林中速度达7.5 m/s。

Comments Published in IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, 2026

2409.19617 2025-05-26 cs.RO 65%

LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World

Taisuke Kobayashi

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

Comments 21 pages, 17 figures (accepted in Robotics and Autonomous Systems)

Journal ref Robotics and Autonomous Systems, 2025

2210.11392 2022-10-21 cs.RO 65%

Deep reinforcement learning oriented for real world dynamic scenarios

Diego Martinez, Luis Riazuelo, Luis Montano

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

Comments Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments (PNARUDE) workshop in IROS 2022

1709.10273 2022-03-07 cs.RO 65%

Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware

Steve Heim, Felix Ruppert, Alborz A. Sarvestani, Alexander Spröwitz

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

Comments Accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2018, 6 pages, 6 figures

Journal ref 2018 IEEE International Conference on Robotics and Automation (ICRA)

1. 模仿学习与强化学习 4113 篇

Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning

Learning from Demonstration without Demonstrations

Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation

A Scavenger Hunt for Service Robots

Learning the Next Best View for 3D Point Clouds via Topological Features

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Dynamic Experience Replay

PODDP: Partially Observable Differential Dynamic Programming for Latent Belief Space Planning

Mutual Information Maximization for Robust Plannable Representations

Towards Embodied Scene Description

Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion

Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints

Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning

Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning

Reinforced Imitation in Heterogeneous Action Space

Reinforcement Learning with Non-uniform State Representations for Adaptive Search

Autonomous Reinforcement Learning of Multiple Interrelated Tasks

OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras

An Algorithmic Perspective on Imitation Learning

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Shapechanger: Environments for Transfer Learning

Density Matching Reward Learning

High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning

LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World

Deep reinforcement learning oriented for real world dynamic scenarios

Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware