机器人 / 具身智能 - arXivDaily 专题

2203.02844 2022-03-08 cs.LG cs.AI cs.MA 62%

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning

Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer

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

Comments AAAI 2022

2109.05604 2022-03-08 cs.RO cs.LG 62%

Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies

Sean Gillen, Asutay Ozmen, Katie Byl

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

Comments Under Review

2203.00368 2022-03-02 cs.RO cs.LG 62%

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization

Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas

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

2202.09982 2022-02-23 cs.CV cs.LG 62%

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

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

2202.10057 2022-02-22 cs.LG cs.AI 62%

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov

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

2202.09646 2022-02-22 cs.AI cs.RO cs.SY eess.SY 62%

Navigating Conceptual Space; A new take on Artificial General Intelligence

Per R. Leikanger

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

Comments Featured in the conference of Artificial General Intelligence 2021. Part of the Lecture Notes in Computer Science book series (LNCS, volume 13154) and Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 13154)

Journal ref Electronic ISSN 1611-3349 Lecture Notes in Computer Science 2021

2202.09644 2022-02-22 cs.RO cs.AI 62%

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic

Yuqi Liu, Qichao Zhang, Dongbin Zhao

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

1907.09470 2022-02-18 cs.LG cs.AI cs.CR stat.ML 62%

Characterizing Attacks on Deep Reinforcement Learning

Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Jinfeng Yi, Zijiang Yang, Mingyan Liu, Bo Li, Dawn Song

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

Comments AAMAS 2022, 13 pages, 6 figures

2201.13388 2022-02-01 cs.RO cs.LG stat.ML 62%

Compositional Multi-Object Reinforcement Learning with Linear Relation Networks

Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello

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

2109.04150 2022-02-01 cs.LG cs.RO 62%

Self-supervised Reinforcement Learning with Independently Controllable Subgoals

Andrii Zadaianchuk, Georg Martius, Fanny Yang

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

2201.08896 2022-01-25 cs.LG cs.AI 62%

Environment Generation for Zero-Shot Compositional Reinforcement Learning

Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

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

Comments Published in NeurIPS 2021

2201.07958 2022-01-21 cs.LG cs.AI 62%

Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning

Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki

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

Comments Accepted at 1st Multi-Objective Decision Making Workshop (MODeM 2021). Cite as: Jaeyoung Lee, Sean Sedwards and Krzysztof Czarnecki. (2021). Recursive constraints to prevent instability in constrained reinforcement learning. In: Proc. 1st Multi-Objective Decision Making Workshop (MODeM 2021), Hayes, Mannion, Vamplew (eds). Online at http://modem2021.cs.nuigalway.ie

2112.04216 2022-01-11 cs.LG cs.RO 62%

Specializing Versatile Skill Libraries using Local Mixture of Experts

Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

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

Comments published at CoRL 2021 London

2112.13937 2021-12-30 cs.AI cs.RO 62%

Multiagent Model-based Credit Assignment for Continuous Control

Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak, Michael Wooldridge

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

Comments To Appear in AAMAS2022 (Oral)

2112.11731 2021-12-23 cs.LG cs.AI 62%

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Debangoye, Olivier Simonin, Joshua Romoff, Christian Wolf

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

2112.07031 2021-12-15 cs.LG cs.RO 62%

Teaching a Robot to Walk Using Reinforcement Learning

Jack Dibachi, Jacob Azoulay

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

Comments 6 pages, 9 figures

2112.06063 2021-12-14 cs.LG cs.AI cs.CR 62%

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma

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

2104.05043 2021-12-14 cs.LG cs.RO 62%

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning

Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

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

Comments Accepted by AAAI-22

2112.02278 2021-12-07 cs.RO cs.AI 62%

Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation

Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

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

Comments Accepted by AAAI 2022, preprint version, first two authors contribute equally

2106.02757 2021-11-23 cs.LG cs.AI 62%

Heuristic-Guided Reinforcement Learning

Ching-An Cheng, Andrey Kolobov, Adith Swaminathan

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

2105.03061 2021-11-19 eess.IV cs.AI cs.LG eess.SP 62%

Deep reinforcement learning-designed radiofrequency waveform in MRI

Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee

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

Comments Published at Nature Machine Intelligence

1912.02368 2021-11-19 cs.LG cs.AI stat.ML 62%

Inter-Level Cooperation in Hierarchical Reinforcement Learning

Abdul Rahman Kreidieh, Glen Berseth, Brandon Trabucco, Samyak Parajuli, Sergey Levine, Alexandre M. Bayen

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

2008.02790 2021-11-15 cs.LG cs.AI stat.ML 62%

Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices

Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn

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

Comments International Conference on Machine Learning (ICML), 2021

2103.03991 2021-11-03 cs.RO cs.AI 62%

Passing Through Narrow Gaps with Deep Reinforcement Learning

Brendan Tidd, Akansel Cosgun, Jurgen Leitner, Nicolas Hudson

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

Comments Submitted to 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Journal ref In proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

2110.14565 2021-10-28 cs.LG cs.AI 62%

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Fei Deng, Ingook Jang, Sungjin Ahn

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

2106.09422 2021-10-19 cs.RO cs.AI 62%

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model

Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen

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

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

1909.09505 2021-10-14 cs.LG cs.RO eess.SP 62%

Redirection Controller Using Reinforcement Learning

Yuchen Chang, Keigo Matsumoto, Takuji Narumi, Tomohiro Tanikawa, Michitaka Hirose

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

Comments 16 pages, 12 figures, IEEE Access early access

2110.01954 2021-10-06 cs.RO cs.LG 62%

Continuous-Time Fitted Value Iteration for Robust Policies

Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters

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

Comments arXiv admin note: text overlap with arXiv:2105.12189

2109.15147 2021-10-01 cs.AI cs.LG 62%

Reinforcement Learning with Information-Theoretic Actuation

Elliot Catt, Marcus Hutter, Joel Veness

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

2103.00806 2021-10-01 cs.CV cs.RO 62%

Representation Learning for Event-based Visuomotor Policies

Sai Vemprala, Sami Mian, Ashish Kapoor

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

1. 模仿学习与强化学习 4134 篇

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning

Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories

Navigating Conceptual Space; A new take on Artificial General Intelligence

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic

Characterizing Attacks on Deep Reinforcement Learning

Compositional Multi-Object Reinforcement Learning with Linear Relation Networks

Self-supervised Reinforcement Learning with Independently Controllable Subgoals

Environment Generation for Zero-Shot Compositional Reinforcement Learning

Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning

Specializing Versatile Skill Libraries using Local Mixture of Experts

Multiagent Model-based Credit Assignment for Continuous Control

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

Teaching a Robot to Walk Using Reinforcement Learning

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning

Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation

Heuristic-Guided Reinforcement Learning

Deep reinforcement learning-designed radiofrequency waveform in MRI

Inter-Level Cooperation in Hierarchical Reinforcement Learning

Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices

Passing Through Narrow Gaps with Deep Reinforcement Learning

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model

Redirection Controller Using Reinforcement Learning

Continuous-Time Fitted Value Iteration for Robust Policies

Reinforcement Learning with Information-Theoretic Actuation

Representation Learning for Event-based Visuomotor Policies