机器人 / 具身智能 - arXivDaily 专题

1911.03219 2019-11-11 cs.LG cs.CL stat.ML 57%

Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning

Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer

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

Comments NeurIPS 2019 Workshop ViGIL : Visually Grounded Interaction and Language

1911.01417 2019-11-05 cs.AI 57%

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

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

Comments NeurIPS 2019

1911.00459 2019-11-04 cs.LG stat.ML 57%

Positive-Unlabeled Reward Learning

Danfei Xu, Misha Denil

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

1901.10251 2019-11-04 cs.LG stat.ML 57%

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

Orr Krupnik, Igor Mordatch, Aviv Tamar

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

1907.04202 2019-10-08 cs.LG cs.SY eess.SY stat.ML 57%

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Masashi Okada, Tadahiro Taniguchi

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

Comments Accepted to CoRL2019. Camera-ready ver

1909.12268 2019-09-27 eess.SY cs.LG cs.SY math.OC 57%

Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation

Huixin Zhan, Yongcan Cao

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

1909.05731 2019-09-16 cs.RO cs.SY eess.SY 57%

A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors

Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt

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

Comments 6 pages

1904.10729 2019-07-11 cs.LG 57%

Neural Logic Reinforcement Learning

Zhengyao Jiang, Shan Luo

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

Comments Accpeted by ICML2019

1903.02993 2019-07-09 cs.LG stat.ML 57%

Provably Robust Blackbox Optimization for Reinforcement Learning

Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani

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

1509.02971 2019-07-08 cs.LG stat.ML 57%

Continuous control with deep reinforcement learning

Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

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

Comments 10 pages + supplementary

1903.10605 2019-07-03 cs.AI 57%

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies

Riley Simmons-Edler, Ben Eisner, Eric Mitchell, Sebastian Seung, Daniel Lee

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

1906.08113 2019-06-20 cs.LG stat.ML 57%

Wasserstein Adversarial Imitation Learning

Huang Xiao, Michael Herman, Joerg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh

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

1905.13719 2019-06-03 cs.LG stat.ML 57%

Reinforcement Learning Experience Reuse with Policy Residual Representation

Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou

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

Comments Conference version appears in IJCAI 2019

1905.13420 2019-06-03 cs.LG stat.ML 57%

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng

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

1905.09934 2019-05-27 cs.RO 57%

Mechatronic Design of a Dribbling System for RoboCup Small Size Robot

Zheyuan Huang, Yunkai Wang, Lingyun Chen, Jiacheng Li, Zexi Chen, Rong Xiong

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

Comments RCAR 2019. arXiv admin note: substantial text overlap with arXiv:1905.09157

1901.09184 2019-05-08 cs.LG stat.ML 57%

Action Robust Reinforcement Learning and Applications in Continuous Control

Chen Tessler, Yonathan Efroni, Shie Mannor

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

Comments Accepted to ICML 2019

1904.11082 2019-04-26 cs.LG stat.ML 57%

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

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

Comments The first three authors contributed equally. Accepted by AAMAS 2019

1904.01806 2019-04-04 cs.LG stat.ML 57%

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin

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

1904.01139 2019-04-03 cs.LG stat.ML 57%

Generative predecessor models for sample-efficient imitation learning

Yannick Schroecker, Mel Vecerik, Jonathan Scholz

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

1903.02183 2019-03-07 cs.AI stat.ML 57%

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning

Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka

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

Comments Proceedings of the SICE Annual Conference 2018 (pp.1376-1379)

1902.07257 2019-02-21 cs.LG stat.ML 57%

DOM-Q-NET: Grounded RL on Structured Language

Sheng Jia, Jamie Kiros, Jimmy Ba

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

Comments International Conference on Learning Representations (ICLR), 2019

1902.00528 2019-02-19 cs.LG stat.ML 57%

Competitive Experience Replay

Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

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

Comments Published as a conference paper at Seventh International Conference on Learning Representations(ICLR 2019)

1806.00877 2019-01-10 cs.LG math.OC stat.ML 57%

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

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

Comments final version as appeared in NeurIPS 2018

1811.11441 2018-12-18 cs.LG stat.ML 57%

Trajectory-based Learning for Ball-in-Maze Games

Sujoy Paul, Jeroen van Baar

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

Comments Accepted at NIPS 2018 Workshop on Imitation Learning

1811.12651 2018-12-03 cs.RO 57%

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning

Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia

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

Comments 20 pages

1701.07274 2018-11-27 cs.LG 57%

Deep Reinforcement Learning: An Overview

Yuxi Li

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

Comments Please see Deep Reinforcement Learning, arXiv:1810.06339, for a significant update

1809.11074 2018-11-26 cs.AI 57%

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen

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

1811.07489 2018-11-20 cs.RO 57%

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon

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

Comments accepted in WAFR 2018

1709.07932 2018-11-19 cs.RO 57%

Expanding Motor Skills through Relay Neural Networks

Visak C. V. Kumar, Sehoon Ha, C. Karen Liu

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

1809.06719 2018-11-06 cs.LG stat.ML 57%

Improvements on Hindsight Learning

Ameet Deshpande, Srikanth Sarma, Ashutosh Jha, Balaraman Ravindran

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

1. 模仿学习与强化学习 4134 篇

Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

Positive-Unlabeled Reward Learning

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation

A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors

Neural Logic Reinforcement Learning

Provably Robust Blackbox Optimization for Reinforcement Learning

Continuous control with deep reinforcement learning

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies

Wasserstein Adversarial Imitation Learning

Reinforcement Learning Experience Reuse with Policy Residual Representation

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

Mechatronic Design of a Dribbling System for RoboCup Small Size Robot

Action Robust Reinforcement Learning and Applications in Continuous Control

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

Generative predecessor models for sample-efficient imitation learning

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning

DOM-Q-NET: Grounded RL on Structured Language

Competitive Experience Replay

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Trajectory-based Learning for Ball-in-Maze Games

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning

Deep Reinforcement Learning: An Overview

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Expanding Motor Skills through Relay Neural Networks

Improvements on Hindsight Learning