机器人 / 具身智能 - arXivDaily 专题

2003.01074 2020-03-03 cs.LG stat.ML 57%

Gaussian Process Policy Optimization

Ashish Rao, Bidipta Sarkar, Tejas Narayanan

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

1910.05396 2020-02-18 cs.LG stat.ML 57%

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

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

Comments Accepted in ICLR 2020 and NeurIPS Workshop on Deep RL 2019 / First two authors are equally contributed

2002.02693 2020-02-10 cs.LG stat.ML 57%

Ready Policy One: World Building Through Active Learning

Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts

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

1908.06272 2020-02-06 cs.RO 57%

Contact Skill Imitation Learning for Robot-Independent Assembly Programming

Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann

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

Comments 8 pages, 12 figures, presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019

1911.00934 2020-01-31 cs.LG cs.IT cs.SY eess.SY math.IT math.OC stat.ML 57%

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang

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

Comments 25 pages, 3 figures

1809.05188 2020-01-28 cs.LG cs.MA stat.ML 57%

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha

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

Comments Published at International Conference on Learning Representations 2020

2001.06781 2020-01-22 cs.AI 57%

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran

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

Comments Accepted as Full Paper to International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2020

2001.02652 2020-01-09 cs.LG stat.ML 57%

Sample-based Distributional Policy Gradient

Rahul Singh, Keuntaek Lee, Yongxin Chen

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

2001.00048 2020-01-03 cs.RO 57%

MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications

Ahmed Abdelhamed, Balakrishna Yadav Peddagolla, Girma Tewolde, Jaerock Kwon

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

Comments 20 pages, 16 figures

1912.10703 2019-12-25 cs.LG cs.NE cs.SY eess.SY stat.ML 57%

Variational Recurrent Models for Solving Partially Observable Control Tasks

Dongqi Han, Kenji Doya, Jun Tani

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 the Eighth International Conference on Learning Representations (ICLR 2020)

1912.05128 2019-12-12 cs.LG stat.ML 57%

Marginalized State Distribution Entropy Regularization in Policy Optimization

Riashat Islam, Zafarali Ahmed, Doina Precup

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

Comments In Submission; Appeared at NeurIPS 2019 Deep Reinforcement Learning Workshop

1912.03193 2019-12-09 cs.LG math.OC stat.ML 57%

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli

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

1912.02552 2019-12-06 cs.AI 57%

Reinforcement Learning with Non-Markovian Rewards

Maor Gaon, Ronen I. Brafman

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

Comments To Appear in AAAI 2020

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

1. 模仿学习与强化学习 4116 篇

Gaussian Process Policy Optimization

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Ready Policy One: World Building Through Active Learning

Contact Skill Imitation Learning for Robot-Independent Assembly Programming

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Sample-based Distributional Policy Gradient

MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications

Variational Recurrent Models for Solving Partially Observable Control Tasks

Marginalized State Distribution Entropy Regularization in Policy Optimization

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

Reinforcement Learning with Non-Markovian Rewards

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