机器人 / 具身智能 - arXivDaily 专题

2311.01075 2023-11-03 cs.LG 70%

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen

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

Comments This paper has been accepted at NeurIPS 2023 as a poster

2309.09167 2023-11-02 cs.RO 70%

From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning

Linqi Ye, Jiayi Li, Yi Cheng, Xianhao Wang, Bin Liang, Yan Peng

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

2309.15430 2023-09-28 cs.RO cs.SY eess.SY 70%

Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion

Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter

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

2309.00176 2023-09-04 cs.RO 70%

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles

Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews-Jr, Daniel F. T. Gamarra

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

Comments 7 pages, 6 figures. Approved at LARS 2023

2307.10160 2023-07-20 cs.RO cs.AI cs.CV cs.LG cs.MA 70%

Robust Driving Policy Learning with Guided Meta Reinforcement Learning

Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer

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

Comments ITSC 2023

2307.08033 2023-07-18 cs.LG 70%

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

Hongyu Ding, Yuanze Tang, Qing Wu, Bo Wang, Chunlin Chen, Zhi Wang

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

Comments Accepted by IEEE-CAA Journal of Automatica Sinica, 2023, DOI: 10.1109/JAS.2023.123477

2307.07837 2023-07-18 cs.RO 70%

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu

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

2111.13969 2023-05-02 cs.RO cs.SY eess.SY 70%

Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment

Abbas Tariverdi, Ulysse Côté-Allard, Kim Mathiassen, Ole J. Elle, Håvard Kalvøy, Ørjan G. Martinsen, Jim Tørresen

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

Comments Published in IEEE Transactions on Automation Science and Engineering (2023). 17 pages, 18 figures

2304.12432 2023-04-26 cs.NE cs.LG 70%

Generative Adversarial Neuroevolution for Control Behaviour Imitation

Maximilien Le Clei, Pierre Bellec

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

2202.10324 2023-04-03 cs.CV cs.AI cs.LG cs.RO 70%

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

Che Wang, Xufang Luo, Keith Ross, Dongsheng Li

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

Comments 41 pages, camera-ready final version, accepted to NeurIPS 2022

2302.09606 2023-02-21 cs.RO 70%

LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery

Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

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

2109.04771 2023-02-09 cs.RO 70%

Learning Visual Feedback Control for Dynamic Cloth Folding

Julius Hietala, David Blanco-Mulero, Gokhan Alcan, Ville Kyrki

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

Comments 9 pages, 7 figures. IROS 2022, accepted version. See https://sites.google.com/view/dynamic-cloth-folding for supplementary material

2208.10291 2023-01-25 cs.LG 70%

Efficient Planning in a Compact Latent Action Space

Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

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

Comments Accepted by ICLR2023. Code available at https://github.com/ZhengyaoJiang/latentplan

2212.09033 2022-12-20 cs.AI 70%

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents

Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

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

2212.00955 2022-12-05 cs.RO 70%

Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks

Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka

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

Comments 6 pages, 4 figures

2211.01052 2022-11-22 cs.LG stat.ML 70%

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine

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

2211.00194 2022-11-02 cs.RO 70%

SEIL: Simulation-augmented Equivariant Imitation Learning

Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt

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

2210.03662 2022-10-17 cs.RO 70%

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot

Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch

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

1811.08318 2022-09-28 cs.AI 70%

Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning

Thommen George Karimpanal, Roland Bouffanais

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

Comments 35 pages, 11 figures, Accepted in the journal Adaptive Behavior. arXiv admin note: substantial text overlap with arXiv:1807.07530

Journal ref Adaptive Behavior 27 (2018) 111-126

2209.08959 2022-09-20 cs.RO cs.AI cs.CV cs.LG 70%

Latent Plans for Task-Agnostic Offline Reinforcement Learning

Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

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

Comments CoRL 2022. Project website: http://tacorl.cs.uni-freiburg.de/

2209.04924 2022-09-19 cs.RO 70%

Meta-Reinforcement Learning via Language Instructions

Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll

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

2204.09315 2022-09-19 cs.LG 70%

Learning to Constrain Policy Optimization with Virtual Trust Region

Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

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

Comments Preprint, 22 pages

1802.02674 2022-06-08 physics.flu-dyn cs.AI physics.comp-ph 70%

Efficient collective swimming by harnessing vortices through deep reinforcement learning

Siddhartha Verma, Guido Novati, Petros Koumoutsakos

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

Comments 26 pages, 14 figures

2205.11790 2022-05-25 cs.RO cs.SY eess.SY 70%

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning

Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan

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

2204.11251 2022-04-26 cs.RO 70%

One-Shot Domain-Adaptive Imitation Learning via Progressive Learning

Dandan Zhang, Wen Fan, John Lloyd, Chenguang Yang, Nathan Lepora

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

Comments under review

2203.15755 2022-03-30 cs.RO 70%

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning

Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman

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

Comments Interactive website at https://dbap-rl.github.io/

2203.04439 2022-03-10 cs.RO 70%

$\mathrm{SO}(2)$-Equivariant Reinforcement Learning

Dian Wang, Robin Walters, Robert Platt

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

Comments Published at ICLR 2022

2103.04004 2022-02-14 cs.RO cs.SY eess.SY 70%

Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot

Sho Sakaino

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

Comments 6pages, 10 figures, submitted for ISIE2021

Journal ref 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), pp. 1-6, 2021

2202.03957 2022-02-09 cs.RO cs.AI cs.CV cs.LG 70%

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

Stephen James, Pieter Abbeel

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

Comments Project page and code: https://sites.google.com/view/rl-bpp

2112.06424 2021-12-14 cs.LG 70%

A Benchmark for Low-Switching-Cost Reinforcement Learning

Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu

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

Comments 17 pages, 5 fiugres, project website: https://sites.google.com/view/low-switching-cost-rl

1. 模仿学习与强化学习 4111 篇

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning

Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles

Robust Driving Policy Learning with Guided Meta Reinforcement Learning

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment

Generative Adversarial Neuroevolution for Control Behaviour Imitation

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery

Learning Visual Feedback Control for Dynamic Cloth Folding

Efficient Planning in a Compact Latent Action Space

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents

Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

SEIL: Simulation-augmented Equivariant Imitation Learning

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot

Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning

Latent Plans for Task-Agnostic Offline Reinforcement Learning

Meta-Reinforcement Learning via Language Instructions

Learning to Constrain Policy Optimization with Virtual Trust Region

Efficient collective swimming by harnessing vortices through deep reinforcement learning

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning

One-Shot Domain-Adaptive Imitation Learning via Progressive Learning

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning

$\mathrm{SO}(2)$-Equivariant Reinforcement Learning

Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

A Benchmark for Low-Switching-Cost Reinforcement Learning