机器人 / 具身智能 - arXivDaily 专题

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

2307.08226 2023-07-18 cs.LG cs.RO 62%

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong

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

Comments Preprint. Website: http://lfzhao.com/SymCtrl

2307.07670 2023-07-18 cs.LG cs.AI cs.CR math.OC 62%

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Guanlin Liu, Lifeng Lai

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

2306.14489 2023-07-17 cs.RO cs.AI cs.MA 62%

Decentralized Multi-Robot Formation Control Using Reinforcement Learning

Juraj Obradovic, Marko Krizmancic, Stjepan Bogdan

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

Comments 7 pages, 10 figures. To be published in 2023 International Conference on Information, Communication and Automation Technologies (ICAT)

2210.03104 2023-07-13 cs.LG cs.AI 62%

Distributionally Adaptive Meta Reinforcement Learning

Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

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

Comments NeurIPS 2022

2009.07888 2023-07-06 cs.LG cs.AI stat.ML 62%

Transfer Learning in Deep Reinforcement Learning: A Survey

Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou

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

2306.14683 2023-06-27 cs.AI cs.LG eess.SP 62%

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction

Junlong Chen, Jiawen Kang, Minrui Xu, Zehui Xiong, Dusit Niyato, Chuan Chen, Abbas Jamalipour, Shengli Xie

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

2306.14133 2023-06-27 cs.LG cs.AI math.OC 62%

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods

Jun Song, Niao He, Lijun Ding, Chaoyue Zhao

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

Journal ref Transactions on Machine Learning Research, 2023

2306.13554 2023-06-26 cs.LG cs.AI 62%

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner

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

2306.09210 2023-06-16 cs.LG cs.RO cs.SY eess.SY math.OC stat.ML 62%

Optimal Exploration for Model-Based RL in Nonlinear Systems

Andrew Wagenmaker, Guanya Shi, Kevin Jamieson

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

2306.08400 2023-06-16 cs.CL cs.AI cs.LG 62%

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning

Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn

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

Comments International Conference on Machine Learning (ICML), 2023

2306.03951 2023-06-16 cs.RO cs.LG 62%

Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor

Arshad Javeed, Valentín López Jiménez

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

2306.07290 2023-06-14 cs.LG cs.AI 62%

Value function estimation using conditional diffusion models for control

Bogdan Mazoure, Walter Talbott, Miguel Angel Bautista, Devon Hjelm, Alexander Toshev, Josh Susskind

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

2306.01157 2023-06-05 cs.LG cs.AI 62%

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz

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

2108.13680 2023-06-05 cs.RO cs.LG 62%

Learning Practically Feasible Policies for Online 3D Bin Packing

Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu

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

Comments Science China Information Sciences

2208.07914 2023-05-31 cs.LG cs.AI 62%

PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm

Toygun Basaklar, Suat Gumussoy, Umit Y. Ogras

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

Comments 24 pages, 8 Figures, 9 Tables, Published as a conference paper at ICLR 2023, https://openreview.net/forum?id=zS9sRyaPFlJ

2208.06448 2023-05-31 cs.AI cs.LG 62%

RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents

Rafael Rodriguez-Sanchez, Benjamin A. Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris

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

2305.17250 2023-05-30 cs.LG cs.AI 62%

Self-Supervised Reinforcement Learning that Transfers using Random Features

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

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

1. 模仿学习与强化学习 4134 篇

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

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Decentralized Multi-Robot Formation Control Using Reinforcement Learning

Distributionally Adaptive Meta Reinforcement Learning

Transfer Learning in Deep Reinforcement Learning: A Survey

Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

Optimal Exploration for Model-Based RL in Nonlinear Systems

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning

Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor

Value function estimation using conditional diffusion models for control

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

Learning Practically Feasible Policies for Online 3D Bin Packing

PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm

RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents

Self-Supervised Reinforcement Learning that Transfers using Random Features