机器人 / 具身智能 - arXivDaily 专题

2305.16317 2023-10-17 cs.LG cs.AI 62%

Parallel Sampling of Diffusion Models

Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

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

Comments 37th Conference on Neural Information Processing Systems

2203.13424 2023-10-17 cs.LG cs.AI cs.NE 62%

Dealing with Sparse Rewards Using Graph Neural Networks

Matvey Gerasyov, Ilya Makarov

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

Journal ref IEEE Access, vol. 11, pp. 89180-89187, 2023

2310.07899 2023-10-13 cs.AI cs.RO 62%

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti

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

2310.03161 2023-10-06 cs.LG cs.AI 62%

Neural architecture impact on identifying temporally extended Reinforcement Learning tasks

Victor Vadakechirayath George

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

Comments Master's thesis at Albert-Ludwigs-University, Freiburg Faculty of Engineering, Department of Computer Science Chair for Machine Learning. Advisor: Raghu Rajan, Examiners: Prof. Dr. Frank Hutter, Prof. Dr. Thomas Brox

2304.04066 2023-10-02 eess.SY cs.LG cs.RO cs.SY 62%

Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach

Liqun Zhao, Konstantinos Gatsis, Antonis Papachristodoulou

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

Comments Accepted by IEEE CDC 2023

2309.16074 2023-09-29 cs.RO cs.LG 62%

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning

Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao

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

2303.08690 2023-09-28 cs.LG cs.AI 62%

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar

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

2309.14727 2023-09-27 eess.SY cs.AI cs.LG cs.SY 62%

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu

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

2309.14096 2023-09-26 cs.LG cs.RO 62%

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning

Pascal Klink, Florian Wolf, Kai Ploeger, Jan Peters, Joni Pajarinen

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

2210.05178 2023-09-26 cs.RO cs.LG 62%

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Aviral Kumar, Anikait Singh, Frederik Ebert, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, Sergey Levine

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

2309.11089 2023-09-21 eess.SY cs.AI cs.LG cs.SY 62%

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling

Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu

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

2305.16979 2023-09-21 cs.AI cs.LG 62%

Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays

Luc McCutcheon, Saber Fallah

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

Comments 7 pages + 1 references, 4 figures

2302.06692 2023-09-18 cs.LG cs.AI cs.CL 62%

Guiding Pretraining in Reinforcement Learning with Large Language Models

Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas

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

Comments ICML 2023

2309.02976 2023-09-08 cs.RO cs.LG 62%

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle

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

2308.14919 2023-09-04 cs.LG cs.AI 62%

On Reward Structures of Markov Decision Processes

Falcon Z. Dai

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

Comments This PhD thesis draws heavily from arXiv:1907.02114 and arXiv:2002.06299; minor edits

2308.12438 2023-08-25 cs.LG cs.AI cs.SE 62%

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges

Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh

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

Comments Accepted for publication in The International Conference on Software Maintenance and Evolution (ICSME 2023)

2308.12270 2023-08-24 cs.LG cs.AI 62%

Language Reward Modulation for Pretraining Reinforcement Learning

Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel

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

Comments Code available at https://github.com/ademiadeniji/lamp

2308.10797 2023-08-23 cs.LG cs.AI 62%

Stabilizing Unsupervised Environment Design with a Learned Adversary

Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel

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

Comments CoLLAs 2023 - Oral; Second and third authors contributed equally

2306.06236 2023-08-22 cs.MA cs.LG cs.RO 62%

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha

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

2308.08520 2023-08-17 cs.CV cs.LG 62%

Painter: Teaching Auto-regressive Language Models to Draw Sketches

Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic

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

2306.06569 2023-08-16 cs.LG cs.AI 62%

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning

Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu

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

Comments Accepted to ICML 2023

2308.04958 2023-08-10 cs.AI cs.LG 62%

Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks

Marc W. Brittain, Luis E. Alvarez, Kara Breeden

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

Comments 7 pages

2206.07813 2023-08-08 cs.SE cs.AI cs.LG 62%

A Search-Based Testing Approach for Deep Reinforcement Learning Agents

Amirhossein Zolfagharian, Manel Abdellatif, Lionel Briand, Mojtaba Bagherzadeh, Ramesh S

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

Journal ref in IEEE Transactions on Software Engineering, vol. 49, no. 7, pp. 3715-3735, July 2023

2209.15393 2023-08-04 cs.RO cs.AI 62%

Programmable Control of Ultrasound Swarmbots through Reinforcement Learning

Matthijs Schrage, Mahmoud Medany, Daniel Ahmed

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

Journal ref 2023 The Authors. Advanced Materials Technologies published by Wiley-VCH GmbH

2206.14048 2023-08-03 cs.NE cs.AI cs.LG q-bio.NC 62%

Short-Term Plasticity Neurons Learning to Learn and Forget

Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis

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

Comments Accepted at ICML 2022

Journal ref Proceedings of the 39th International Conference on Machine Learning, 162:18704-18722 (2022)

2307.15671 2023-07-31 cs.CV cs.RO 62%

TrackAgent: 6D Object Tracking via Reinforcement Learning

Konstantin Röhrl, Dominik Bauer, Timothy Patten, Markus Vincze

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

Comments International Conference on Computer Vision Systems (ICVS) 2023

2302.14339 2023-07-31 cs.RO cs.AI 62%

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization

Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang

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

Comments 7 pages, 8 figures

2011.09246 2023-07-28 cs.RO cs.LG 62%

Experimental Study on Reinforcement Learning-based Control of an Acrobot

Leo Dostal, Alexej Bespalko, Daniel A. Duecker

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

2102.13008 2023-07-25 cs.LG cs.HC cs.RO 62%

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

Ravi Kumar Thakur, MD-Nazmus Samin Sunbeam, Vinicius G. Goecks, Ellen Novoseller, Ritwik Bera, Vernon J. Lawhern, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich

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

Comments Paper accepted and selected as an oral presentation at Interactive Learning with Implicit Human Feedback Workshop at ICML 2023

2001.05012 2023-07-19 cs.LG cs.AI 62%

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning

Dor Livne, Kobi Cohen

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

Comments This paper has been accepted for publication in the IEEE Journal of Selected Topics in Signal Processing

1. 模仿学习与强化学习 4115 篇

Parallel Sampling of Diffusion Models

Dealing with Sparse Rewards Using Graph Neural Networks

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

Neural architecture impact on identifying temporally extended Reinforcement Learning tasks

Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling

Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays

Guiding Pretraining in Reinforcement Learning with Large Language Models

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

On Reward Structures of Markov Decision Processes

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges

Language Reward Modulation for Pretraining Reinforcement Learning

Stabilizing Unsupervised Environment Design with a Learned Adversary

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Painter: Teaching Auto-regressive Language Models to Draw Sketches

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning

Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks

A Search-Based Testing Approach for Deep Reinforcement Learning Agents

Programmable Control of Ultrasound Swarmbots through Reinforcement Learning

Short-Term Plasticity Neurons Learning to Learn and Forget

TrackAgent: 6D Object Tracking via Reinforcement Learning

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization

Experimental Study on Reinforcement Learning-based Control of an Acrobot

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning