机器人 / 具身智能 - arXivDaily 专题

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

2209.00347 2023-05-25 cs.LG cs.AI 62%

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li

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

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems, 2023

2305.13741 2023-05-24 cs.LG cs.AI 62%

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning

Kibeom Kim, Hyundo Lee, Min Whoo Lee, Moonheon Lee, Minsu Lee, Byoung-Tak Zhang

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

Comments 17 pages include appendices, it is under-review

2305.12663 2023-05-23 cs.LG cs.AI 62%

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman

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

Comments L4DC 2023; Project website: https://penn-pal-lab.github.io/TOM/

2209.11596 2023-05-23 cs.LG cs.RO 62%

Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning

Kang Xu, Yan Ma, Wei Li

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

2305.10411 2023-05-18 cs.LG cs.RO 62%

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies

Hanna Ziesche, Leonel Rozo

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

2107.05818 2023-05-18 cs.LG cs.RO 62%

A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments

Kenneth Bogert, Prashant Doshi

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

Comments 8 pages, 10 figures

Journal ref Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. 2022

2211.02127 2023-05-17 cs.MA cs.AI cs.RO 62%

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan

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

Comments 9 pages, 7 figures, 8 tables, 5 pages appendix, Code: https://github.com/nsidn98/InforMARL

2305.05354 2023-05-11 cs.RO cs.AI 62%

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fuernstahl

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

Comments 10 pages, 4 figures

2305.02901 2023-05-05 cs.LG cs.AI cs.CR 62%

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning

Dayuan Chen, Jian Zhang, Yuqian Lv, Jinhuan Wang, Hongjie Ni, Shanqing Yu, Zhen Wang, Qi Xuan

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

2302.14188 2023-05-02 cs.RO cs.AI cs.SY eess.SY 62%

Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning

Joshua Aurand, Steven Cutlip, Henry Lei, Kendra Lang, Sean Phillips

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

2304.14533 2023-05-01 cs.LG cs.AI 62%

Adversarial Policy Optimization in Deep Reinforcement Learning

Md Masudur Rahman, Yexiang Xue

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

2204.00117 2023-05-01 cs.RO cs.LG 62%

Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning

Leszek Pecyna, Siyuan Dong, Shan Luo

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

Comments 8 pages, 11 figures

Journal ref 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2201.02135 2023-04-25 cs.AI cs.LG 62%

Deep Reinforcement Learning, a textbook

Aske Plaat

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

Comments Revised version 2023, added description of Monte Carlo sampling and N-step algorithm, improved explanation of on-policy and off-policy learning. Preprint available by permission of Publisher

1. 模仿学习与强化学习 4115 篇

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

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies

A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning

Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning

Adversarial Policy Optimization in Deep Reinforcement Learning

Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning

Deep Reinforcement Learning, a textbook