机器人 / 具身智能 - arXivDaily 专题

2008.05598 2020-12-03 cs.LG cs.AI 62%

Deep Model-Based Reinforcement Learning for High-Dimensional Problems, 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

2011.08728 2020-12-01 cs.RO cs.LG 62%

Fault-Aware Robust Control via Adversarial Reinforcement Learning

Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun

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

Comments 7 pages, 7 figures

2011.13847 2020-11-30 cs.RO cs.LG 62%

Autonomous learning of multiple, context-dependent tasks

Vieri Giuliano Santucci, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre

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

2011.13467 2020-11-30 cs.AI cs.RO 62%

Episodic Self-Imitation Learning with Hindsight

Tianhong Dai, Hengyan Liu, Anil Anthony Bharath

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

1902.01670 2020-11-25 cs.LG cs.RO stat.ML 62%

Interactively shaping robot behaviour with unlabeled human instructions

Anis Najar, Olivier Sigaud, Mohamed Chetouani

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

Journal ref Auton Agent Multi-Agent Syst 34, 35 (2020)

2011.09586 2020-11-20 cs.RO cs.LG 62%

SAFARI: Safe and Active Robot Imitation Learning with Imagination

Norman Di Palo, Edward Johns

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

1805.09267 2020-11-19 cs.LG cs.AI stat.ML 62%

Reinforcement Learning for Heterogeneous Teams with PALO Bounds

Roi Ceren, Prashant Doshi, Keyang He

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

Journal ref Neurocomputing, Volume 420, 8 January 2021, Pages 36-56

1805.07871 2020-11-19 cs.LG cs.AI stat.ML 62%

A Framework and Method for Online Inverse Reinforcement Learning

Saurabh Arora, Prashant Doshi, Bikramjit Banerjee

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

Journal ref Journal of Autonomous Agents and Multi-Agent Systems, Volume 35, Article number: 4 (2021)

2011.08743 2020-11-18 cs.RO cs.AI cs.MA 62%

Curiosity Based Reinforcement Learning on Robot Manufacturing Cell

Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung

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

Comments 6 pages

2011.06882 2020-11-16 eess.SY cs.LG cs.RO cs.SY 62%

Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

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

2011.04950 2020-11-11 cs.RO cs.AI cs.SY eess.SY 62%

Model-based Reinforcement Learning from Signal Temporal Logic Specifications

Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh

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

Comments Submitted to ICRA 2021

2007.13134 2020-11-09 cs.RO cs.LG 62%

Data-efficient visuomotor policy training using reinforcement learning and generative models

Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman

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

2011.01298 2020-11-04 cs.RO cs.LG 62%

Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models

Yuchen Wu, Melissa Mozifian, Florian Shkurti

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

Comments submitted to ICRA 2021

2005.01643 2020-11-03 cs.LG cs.AI stat.ML 62%

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Sergey Levine, Aviral Kumar, George Tucker, Justin Fu

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

2010.14575 2020-10-29 cs.RO cs.LG cs.SY eess.SY 62%

Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications

Bin Xu, Jun Hou, Junzhe Shi, Huayi Li, Dhruvang Rathod, Zhe Wang, Zoran Filipi

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

2010.14274 2020-10-28 cs.AI cs.LG 62%

Behavior Priors for Efficient Reinforcement Learning

Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess

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

Comments Submitted to Journal of Machine Learning Research (JMLR)

2002.06506 2020-10-27 cs.LG cs.AI stat.ML 62%

First Order Constrained Optimization in Policy Space

Yiming Zhang, Quan Vuong, Keith W. Ross

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

2010.10740 2020-10-22 cs.LG cs.RO cs.SY eess.SY 62%

Safety Verification of Model Based Reinforcement Learning Controllers

Akshita Gupta, Inseok Hwang

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

2010.09933 2020-10-21 cs.LG cs.AI 62%

Proximal Policy Gradient: PPO with Policy Gradient

Ju-Seung Byun, Byungmoon Kim, Huamin Wang

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

Comments 7 pages

2010.09108 2020-10-20 cs.LG cs.AI cs.MA q-fin.PM 62%

Bridging the gap between Markowitz planning and deep reinforcement learning

Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay

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

Comments 10 pages, ICAPS PRL. arXiv admin note: substantial text overlap with arXiv:2009.14136, arXiv:2010.08497

2010.07467 2020-10-16 cs.RO cs.LG 62%

Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach

Huixin Zhan, Feng Tao, Yongcan Cao

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

Comments 8 pages

2010.04816 2020-10-13 cs.LG cs.AI 62%

Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning

Michael Zhang

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

Comments Deep Reinforcement Learning Workshop, NeurIPS 2019; Workshop on Meta-Learning (Meta-Learn), NeurIPS 2019

2009.11212 2020-10-08 cs.RO cs.LG 62%

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

Péter Almási, Róbert Moni, Bálint Gyires-Tóth

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

Comments \c{opyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

2008.01825 2020-09-24 cs.LG cs.MA cs.RO stat.ML 62%

Robust Reinforcement Learning using Adversarial Populations

Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre Bayen

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

1912.04063 2020-09-24 cs.RO cs.LG 62%

Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes

Takayuki Osa, Shuhei Ikemoto

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

Comments 8 pages, SN Computer Science

2009.09593 2020-09-22 cs.LG cs.AI 62%

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning

Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao

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

Comments 9 pages, 6 figures

2008.12001 2020-09-17 cs.LG cs.AI stat.ML 62%

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

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

Comments Accepted by ICDM 2020. In this version, we revised some typos or mistakes for camera-ready

2008.13712 2020-09-01 cs.RO cs.AI cs.SY eess.SY 62%

Control of a Nature-inspired Scorpion using Reinforcement Learning

Aakriti Agrawal, V S Rajashekhar, Rohitkumar Arasanipalai, Debasish Ghose

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

Comments 4 pages, 5 figures

2008.13193 2020-09-01 cs.CV cs.RO 62%

Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator

Yue Fan, Shilei Chu, Wei Zhang, Ran Song, Yibin Li

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

Comments Accepted by IROS 2020

2008.12693 2020-08-31 cs.LG cs.AI stat.ML 62%

Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back

Trevor A. McInroe

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

1. 模仿学习与强化学习 4134 篇

Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey

Fault-Aware Robust Control via Adversarial Reinforcement Learning

Autonomous learning of multiple, context-dependent tasks

Episodic Self-Imitation Learning with Hindsight

Interactively shaping robot behaviour with unlabeled human instructions

SAFARI: Safe and Active Robot Imitation Learning with Imagination

Reinforcement Learning for Heterogeneous Teams with PALO Bounds

A Framework and Method for Online Inverse Reinforcement Learning

Curiosity Based Reinforcement Learning on Robot Manufacturing Cell

Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Model-based Reinforcement Learning from Signal Temporal Logic Specifications

Data-efficient visuomotor policy training using reinforcement learning and generative models

Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications

Behavior Priors for Efficient Reinforcement Learning

First Order Constrained Optimization in Policy Space

Safety Verification of Model Based Reinforcement Learning Controllers

Proximal Policy Gradient: PPO with Policy Gradient

Bridging the gap between Markowitz planning and deep reinforcement learning

Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach

Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

Robust Reinforcement Learning using Adversarial Populations

Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

Control of a Nature-inspired Scorpion using Reinforcement Learning

Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator

Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back