机器人 / 具身智能 - arXivDaily 专题

2007.02753 2020-11-17 cs.RO cs.AI cs.DC cs.LG cs.SE 67%

robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots

Matteo Lucchi, Friedemann Zindler, Stephan Mühlbacher-Karrer, Horst Pichler

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

2011.04282 2020-11-10 cs.RO cs.AI cs.LG 67%

Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization

M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Tekden, Emre Ugur

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

2003.06906 2020-11-10 cs.MA cs.AI cs.LG cs.RO 67%

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous

Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

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

Comments CoRL 2020. The video is available at: https://youtu.be/-ydXHUtPzWE

2002.08550 2020-11-04 cs.RO cs.AI cs.LG 67%

Learning to Walk in the Real World with Minimal Human Effort

Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan

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

2002.07911 2020-10-28 cs.LG cs.AI cs.RO stat.ML 67%

Generating Automatic Curricula via Self-Supervised Active Domain Randomization

Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull

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

2008.13221 2020-09-01 cs.LG cs.AI cs.HC cs.RO stat.ML 67%

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems

Vinicius G. Goecks

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

Comments PhD thesis, Aerospace Engineering, Texas A&M (2020). For more information, see https://vggoecks.com/

2008.12624 2020-08-31 cs.RO cs.AI cs.LG 67%

A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer

Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga, Mateus G. Machado, Lucas H. C. Santos, Alain Tapp

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

1912.13503 2020-08-03 cs.LG cs.CV cs.NE cs.RO 67%

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Jeffrey O Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik

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

Comments In ECCV 2020 (Spotlight). For more, see project website and code at http://sidetuning.berkeley.edu

2006.09540 2020-06-18 cs.RO cs.AI cs.LG 67%

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning

Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San

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

2006.06620 2020-06-12 cs.RO cs.AI cs.LG 67%

From proprioception to long-horizon planning in novel environments: A hierarchical RL model

Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George

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

2005.13976 2020-05-29 cs.LG cs.AI cs.RO 67%

Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning

Hyun Jae Cho, Madhur Behl

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

2005.10622 2020-05-25 cs.LG cs.AI cs.RO stat.ML 67%

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu

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

Comments 7 papges, 3 figures

2005.07513 2020-05-18 cs.LG cs.AI cs.RO stat.ML 67%

A Distributional View on Multi-Objective Policy Optimization

Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller

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

2004.12873 2020-04-28 cs.LG cs.AI cs.RO stat.ML 67%

Maximum Entropy Multi-Task Inverse RL

Saurabh Arora, Bikramjit Banerjee, Prashant Doshi

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

2004.06089 2020-04-28 cs.LG cs.AI cs.RO stat.ML 67%

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog

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

Comments Published as a conference paper at ICLR 2020

2004.04450 2020-04-10 cs.AI cs.LG cs.RO 67%

Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning

Danial Kamran, Carlos Fernandez Lopez, Martin Lauer, Christoph Stiller

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

2004.00801 2020-04-03 cs.LG cs.AI cs.RO 67%

Exploration of Reinforcement Learning for Event Camera using Car-like Robots

Riku Arakawa, Shintaro Shiba

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

2003.01431 2020-03-04 cs.NE cs.AI cs.LG cs.RO 67%

Embodied Synaptic Plasticity with Online Reinforcement learning

Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rudiger Dillmann

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

Comments 18 pages, 5 figures, published in frontiers in neurorobotics

Journal ref Frontiers in neurorobotics, volume 13, p81, 2019

2002.08718 2020-02-21 cs.AI cs.LG cs.RO 67%

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng

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

Comments Accepted as a conference paper in ICRA 2020

2001.09467 2020-02-19 cs.LG cs.AI cs.RO stat.ML 67%

Tractable Reinforcement Learning of Signal Temporal Logic Objectives

Harish Venkataraman, Derya Aksaray, Peter Seiler

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

Comments Github code repository: https://github.com/kumaa001/Tractable_RL_for_STL_Objectives. arXiv admin note: text overlap with arXiv:1609.07409

1911.11699 2020-02-12 cs.RO cs.AI cs.LG cs.MA 67%

Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving

Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok

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

Comments 10 pages, 8 figures

1911.09391 2019-11-22 cs.LG cs.AI cs.RO stat.ML 67%

Accelerating Reinforcement Learning with Suboptimal Guidance

Eivind Bøhn, Signe Moe, Tor Arne Johansen

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

Comments Submitted to IFAC 2020

1911.03594 2019-11-21 cs.LG cs.AI cs.RO stat.ML 67%

Robo-PlaNet: Learning to Poke in a Day

Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai

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

Comments 4 pages, 3 figures. Version 2: added reference and acknowledgement

1911.01562 2019-11-06 cs.LG cs.AI cs.RO 67%

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy

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

1712.00948 2019-09-05 cs.AI cs.LG cs.NE cs.RO 67%

Learning Multi-Level Hierarchies with Hindsight

Andrew Levy, George Konidaris, Robert Platt, Kate Saenko

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

Comments ICLR 2019 Accepted Paper

1906.08880 2019-08-06 cs.RO cs.AI cs.LG 67%

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg

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

Comments IROS19

1907.00269 2019-07-16 cs.RO cs.AI cs.LG 67%

On Training Flexible Robots using Deep Reinforcement Learning

Zach Dwiel, Madhavun Candadai, Mariano Phielipp

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

Comments Accepted at the Intelligent Robots and Systems (IRoS) conference, 2019. Camera-ready version coming soon

1905.13566 2019-06-20 cs.RO cs.AI cs.LG 67%

Recent Advances in Imitation Learning from Observation

Faraz Torabi, Garrett Warnell, Peter Stone

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

Comments International Joint Conference on Artificial Intelligence (IJCAI 2019)

1812.11103 2019-06-20 cs.LG cs.AI cs.RO stat.ML 67%

Learning to Walk via Deep Reinforcement Learning

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

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

Comments RSS 2019, https://sites.google.com/view/minitaur-locomotion/

1803.01129 2019-05-24 cs.CV cs.LG cs.RO 67%

OIL: Observational Imitation Learning

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

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

Comments Accepted at RSS'19. First two authors contributed equally

1. 模仿学习与强化学习 4113 篇

robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots

Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous

Learning to Walk in the Real World with Minimal Human Effort

Generating Automatic Curricula via Self-Supervised Active Domain Randomization

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems

A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning

From proprioception to long-horizon planning in novel environments: A hierarchical RL model

Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

A Distributional View on Multi-Objective Policy Optimization

Maximum Entropy Multi-Task Inverse RL

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning

Exploration of Reinforcement Learning for Event Camera using Car-like Robots

Embodied Synaptic Plasticity with Online Reinforcement learning

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Tractable Reinforcement Learning of Signal Temporal Logic Objectives

Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving

Accelerating Reinforcement Learning with Suboptimal Guidance

Robo-PlaNet: Learning to Poke in a Day

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

Learning Multi-Level Hierarchies with Hindsight

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

On Training Flexible Robots using Deep Reinforcement Learning

Recent Advances in Imitation Learning from Observation

Learning to Walk via Deep Reinforcement Learning

OIL: Observational Imitation Learning