机器人 / 具身智能 - arXivDaily 专题

2103.04780 2021-09-29 cs.LG cs.AI 62%

A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms

Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov

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

Comments 20 pages, 6 figures

2109.08973 2021-09-21 cs.RO cs.AI 62%

Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search

Fan Bai, Fei Meng, Jianbang Liu, Jiankun Wang, Max Q. -H. Meng

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

2109.05940 2021-09-14 cs.RO cs.LG 62%

Cross Domain Robot Imitation with Invariant Representation

Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li

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

2012.09156 2021-09-02 cs.LG cs.RO 62%

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra

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

Comments 8 pages, +4 pages appendix

2108.11623 2021-08-27 cs.LG cs.RO cs.SY eess.SY 62%

Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun

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

2108.11510 2021-08-27 cs.CV cs.AI 62%

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides

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

2010.04444 2021-08-23 cs.LG cs.AI 62%

Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning

Paul J. Pritz, Liang Ma, Kin K. Leung

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

2108.06526 2021-08-17 cs.LG cs.AI 62%

Fractional Transfer Learning for Deep Model-Based Reinforcement Learning

Remo Sasso, Matthia Sabatelli, Marco A. Wiering

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

Comments 21 pages, 8 figures, 7 tables

2104.11434 2021-08-17 eess.SY cs.LG cs.RO cs.SY 62%

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone

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

2103.08624 2021-08-03 cs.RO cs.AI 62%

Autonomous Drone Racing with Deep Reinforcement Learning

Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza

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

Comments This paper has been accepted for publication at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, 2021. Copyright @ IEEE

2010.08052 2021-08-03 cs.RO cs.AI 62%

A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly

Jieliang Luo, Hui Li

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

Comments 7 pages, 6 figures; accepted to IROS 2021

2107.13944 2021-07-30 cs.LG cs.AI stat.ML 62%

Lyapunov-based uncertainty-aware safe reinforcement learning

Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh

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

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

2107.11811 2021-07-27 cs.LG cs.AI 62%

Reinforced Imitation Learning by Free Energy Principle

Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi

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

2103.02142 2021-07-27 cs.RO cs.LG 62%

Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

Jacopo Panerati, Hehui Zheng, SiQi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig

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

Comments 8 pages, 11 figures, accepted for presentation at IROS 2021

2104.00053 2021-07-22 cs.RO cs.AI 62%

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen Novoseller, Ken Goldberg

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

Comments IEEE CASE 2021

2107.09359 2021-07-21 cs.LG cs.AI 62%

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters

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

2107.08577 2021-07-20 cs.LG cs.AI 62%

Structured World Belief for Reinforcement Learning in POMDP

Gautam Singh, Skand Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn

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

Comments Published in ICML 2021

2107.08398 2021-07-20 cs.AI cs.LG 62%

Unsupervised Skill-Discovery and Skill-Learning in Minecraft

Juan José Nieto, Roger Creus, Xavier Giro-i-Nieto

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

Comments Accepted at ICML Unsupervised RL Workshop, 8 pages

2107.08241 2021-07-20 cs.LG cs.AI 62%

High-Accuracy Model-Based Reinforcement Learning, a Survey

Aske Plaat, Walter Kosters, Mike Preuss

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

Comments arXiv admin note: text overlap with arXiv:2008.05598

2107.04538 2021-07-12 cs.RO cs.AI 62%

Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios

Bruno Brito, Achin Agarwal, Javier Alonso-Mora

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

2107.04527 2021-07-12 cs.RO cs.LG 62%

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym

Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox

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

2106.13911 2021-06-29 cs.LG cs.AI 62%

Predictive Control Using Learned State Space Models via Rolling Horizon Evolution

Alvaro Ovalle, Simon M. Lucas

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

Comments Accepted at the Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) Workshop at ICAPS 2021

2106.13105 2021-06-25 cs.AI cs.LG 62%

The Option Keyboard: Combining Skills in Reinforcement Learning

André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan Hunt, Shibl Mourad, David Silver, Doina Precup

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

Comments Published at NeurIPS 2019

2106.11365 2021-06-23 cs.RO cs.AI cs.MA 62%

Distributed Heuristic Multi-Agent Path Finding with Communication

Ziyuan Ma, Yudong Luo, Hang Ma

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

Comments Published at ICRA 2021

2106.07892 2021-06-16 cs.RO cs.AI cs.MA 62%

Towards Safe Control of Continuum Manipulator Using Shielded Multiagent Reinforcement Learning

Guanglin Ji, Junyan Yan, Jingxin Du, Wanquan Yan, Jibiao Chen, Yongkang Lu, Juan Rojas, Shing Shin Cheng

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

Comments 8 pages, 12 figs, 1 table, 2 pseudo-code

2010.14771 2021-06-09 cs.LG cs.AI 62%

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient

Samuele Tosatto, João Carvalho, Jan Peters

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

Comments arXiv admin note: substantial text overlap with arXiv:2001.02435

2105.03019 2021-06-08 cs.RO cs.LG 62%

Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories

Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan Ratliff

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

2102.11448 2021-06-07 cs.LG cs.AI 62%

MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning

DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor

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

2005.10619 2021-06-03 cs.LG cs.AI stat.ML 62%

A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments

Sindhu Padakandla

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

Journal ref ACM Computing Surveys 2021

2105.14471 2021-06-01 cs.AI cs.RO 62%

Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture

Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee

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

1. 模仿学习与强化学习 4134 篇

A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms

Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search

Cross Domain Robot Imitation with Invariant Representation

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning

Fractional Transfer Learning for Deep Model-Based Reinforcement Learning

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

Autonomous Drone Racing with Deep Reinforcement Learning

A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly

Lyapunov-based uncertainty-aware safe reinforcement learning

Reinforced Imitation Learning by Free Energy Principle

Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

Structured World Belief for Reinforcement Learning in POMDP

Unsupervised Skill-Discovery and Skill-Learning in Minecraft

High-Accuracy Model-Based Reinforcement Learning, a Survey

Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym

Predictive Control Using Learned State Space Models via Rolling Horizon Evolution

The Option Keyboard: Combining Skills in Reinforcement Learning

Distributed Heuristic Multi-Agent Path Finding with Communication

Towards Safe Control of Continuum Manipulator Using Shielded Multiagent Reinforcement Learning

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient

Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories

MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning

A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments

Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture