机器人 / 具身智能 - arXivDaily 专题

1807.03776 2018-07-11 cs.CV cs.RO 62%

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Xiaodan Liang, Tairui Wang, Luona Yang, Eric Xing

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

Comments To appear in ECCV 2018

1802.06139 2018-06-29 cs.AI cs.LG 62%

Reactive Reinforcement Learning in Asynchronous Environments

Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski

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

Comments 11 pages, 7 figures, currently under journal peer review

1707.00724 2018-06-26 cs.AI cs.LG stat.ML 62%

Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning

Daniel S. Brown, Scott Niekum

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

Comments In proceedings AAAI-18

1703.09700 2018-06-26 cs.LG cs.AI stat.ML 62%

Inverse Reinforcement Learning from Summary Data

Antti Kangasrääsiö, Samuel Kaski

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

Comments To appear in ECMLPKDD'2018

1806.06569 2018-06-19 cs.AI cs.RO 62%

Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fall with Grace

Steve Heim, Alexander Spröwitz

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

Comments Proceedings of the 2018 IEEE International Conference on SImulation, Modeling and Programming for Autonomous Robots (SIMPAR), Brisbane, Australia, 16-19 2018

1804.02395 2018-06-13 cs.LG cs.RO stat.ML 62%

Structured Evolution with Compact Architectures for Scalable Policy Optimization

Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller

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

1802.04325 2018-06-12 cs.LG cs.AI stat.ML 62%

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

Dane Corneil, Wulfram Gerstner, Johanni Brea

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 2018; camera-ready version

1806.01368 2018-06-06 cs.RO cs.AI 62%

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles

Vahid Behzadan, Arslan Munir

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

1805.02785 2018-05-18 cs.LG cs.AI stat.ML 62%

Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards

Joshua R. Bertram, Xuxi Yang, Peng Wei

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

Comments Submitted to NIPS 2018; preprint version posted here. 8 pages content, appendices include pseudocode and proof for algorithm

1804.10692 2018-05-01 cs.CV cs.RO 62%

Reward Learning from Narrated Demonstrations

Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki

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

Comments The work has been accepted to Conference on Computer Vision and Pattern Recognition (CVPR) 2018

1711.09874 2018-04-30 cs.LG cs.RO 62%

Divide-and-Conquer Reinforcement Learning

Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

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

Comments Presented at ICLR 2018. Videos and supporting materials are located at http://bit.ly/dnc-rl

1704.06888 2018-03-21 cs.CV cs.RO 62%

Time-Contrastive Networks: Self-Supervised Learning from Video

Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine

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

1803.01489 2018-03-06 stat.ML cs.AI cs.LG 62%

Recurrent Predictive State Policy Networks

Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha Srinivasa, Geoffrey Gordon

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

1709.03339 2018-02-28 cs.AI cs.RO 62%

Autonomous Quadrotor Landing using Deep Reinforcement Learning

Riccardo Polvara, Massimiliano Patacchiola, Sanjay Sharma, Jian Wan, Andrew Manning, Robert Sutton, Angelo Cangelosi

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

Comments The actual copy of the manuscript is a revised version resubmitted to IROS

1709.07643 2018-02-26 cs.RO cs.AI 62%

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana

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

Comments To appear at ICRA 2018. Video: https://www.youtube.com/watch?v=7liBbk3VjWQ

1704.06676 2018-02-26 cs.AI cs.RO 62%

Modular Multi-Objective Deep Reinforcement Learning with Decision Values

Tomasz Tajmajer

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

1610.04213 2017-12-13 cs.RO cs.AI 62%

Reset-free Trial-and-Error Learning for Robot Damage Recovery

Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Jean-Baptiste Mouret

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

Comments 18 pages, 16 figures, 3 tables, 6 pseudocodes/algorithms, video at https://youtu.be/IqtyHFrb3BU, code at https://github.com/resibots/chatzilygeroudis_2018_rte

1707.06658 2017-11-30 cs.LG cs.AI 62%

RAIL: Risk-Averse Imitation Learning

Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

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

Comments Accepted for presentation in Deep Reinforcement Learning Symposium at NIPS 2017

1711.06782 2017-11-21 cs.LG cs.RO 62%

Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Benjamin Eysenbach, Shixiang Gu, Julian Ibarz, Sergey Levine

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

Comments Videos of our experiments are available at: https://sites.google.com/site/mlleavenotrace/

1709.08233 2017-09-26 cs.AI cs.RO 62%

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following

Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen

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

1709.08201 2017-09-26 cs.AI cs.LG stat.ML 62%

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning

Siyuan Li, Chongjie Zhang

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

1709.06166 2017-09-20 cs.AI cs.RO 62%

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning

Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer

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

1702.08074 2017-04-26 cs.LG cs.RO 62%

Learning Control for Air Hockey Striking using Deep Reinforcement Learning

Ayal Taitler, Nahum Shimkin

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

Comments Corrected typos Graphs added in results section

1703.01274 2017-03-16 cs.AI cs.HC cs.RO 62%

Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback

Kory W. Mathewson, Patrick M. Pilarski

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

1703.00472 2017-03-03 cs.RO cs.LG 62%

Reinforcement Learning for Pivoting Task

Rika Antonova, Silvia Cruciani, Christian Smith, Danica Kragic

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

Comments (Rika Antonova and Silvia Cruciani contributed equally)

1612.03471 2017-03-03 cs.AI cs.RO 62%

Reinforcement Learning With Temporal Logic Rewards

Xiao Li, Cristian-Ioan Vasile, Calin Belta

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

1701.04143 2017-01-17 cs.LG cs.AI 62%

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks

Vahid Behzadan, Arslan Munir

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

Comments 14 pages, 5 figures, pre-print of submission to MLDM '17

1611.02779 2016-11-11 cs.AI cs.LG cs.NE stat.ML 62%

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel

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

Comments 14 pages. Under review as a conference paper at ICLR 2017

1608.06235 2016-09-13 cs.RO cs.LG 62%

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference

Yunpeng Pan, Xinyan Yan, Evangelos Theodorou, Byron Boots

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

1606.01178 2016-06-06 cs.CV cs.RO 62%

Reinforcement Learning for Semantic Segmentation in Indoor Scenes

Md. Alimoor Reza, Jana Kosecka

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

1. 模仿学习与强化学习 4134 篇

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Reactive Reinforcement Learning in Asynchronous Environments

Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning

Inverse Reinforcement Learning from Summary Data

Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fall with Grace

Structured Evolution with Compact Architectures for Scalable Policy Optimization

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles

Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards

Reward Learning from Narrated Demonstrations

Divide-and-Conquer Reinforcement Learning

Time-Contrastive Networks: Self-Supervised Learning from Video

Recurrent Predictive State Policy Networks

Autonomous Quadrotor Landing using Deep Reinforcement Learning

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

Modular Multi-Objective Deep Reinforcement Learning with Decision Values

Reset-free Trial-and-Error Learning for Robot Damage Recovery

RAIL: Risk-Averse Imitation Learning

Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning

Learning Control for Air Hockey Striking using Deep Reinforcement Learning

Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback

Reinforcement Learning for Pivoting Task

Reinforcement Learning With Temporal Logic Rewards

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference

Reinforcement Learning for Semantic Segmentation in Indoor Scenes