机器人 / 具身智能 - arXivDaily 专题

2008.12647 2020-08-31 cs.LG cs.AI 62%

ADAIL: Adaptive Adversarial Imitation Learning

Yiren Lu, Jonathan Tompson

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

2008.05088 2020-08-13 cs.LG cs.AI 62%

An ocular biomechanics environment for reinforcement learning

Julie Iskander, Mohammed Hossny

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

Comments 5 figures, 2 tables

2008.01593 2020-08-05 cs.LG cs.RO stat.ML 62%

Learning Transition Models with Time-delayed Causal Relations

Junchi Liang, Abdeslam Boularias

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

2007.10504 2020-07-22 cs.AI cs.LG stat.ML 62%

Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop

Jonathan Chung, Anna Luo, Xavier Raffin, Scott Perry

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

2007.05196 2020-07-13 cs.LG cs.AI stat.ML 62%

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning

Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

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

Comments Paper accepted to the ICML 2020 Language in Reinforcement Learning (LaReL) Workshop

2006.15085 2020-06-29 cs.LG cs.AI stat.ML 62%

What can I do here? A Theory of Affordances in Reinforcement Learning

Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup

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

Comments Thirty-seventh International Conference on Machine Learning (ICML 2020)

2006.11751 2020-06-24 cs.LG cs.AI stat.ML 62%

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

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

Comments Paper published in ICML2020. Visualizations of trained policies can be found at https://sites.google.com/view/sample-factory

2005.06061 2020-06-24 cs.LG cs.AI stat.ML 62%

TOMA: Topological Map Abstraction for Reinforcement Learning

Zhao-Heng Yin, Wu-Jun Li

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

2006.09939 2020-06-18 cs.LG cs.AI 62%

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

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

1911.06636 2020-06-17 cs.AI cs.RO 62%

Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks

Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess

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

2006.07043 2020-06-15 cs.LG cs.AI cs.CL stat.ML 62%

Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL

Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud

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

1905.03970 2020-06-08 cs.LG cs.AI stat.ML 62%

Reinforcement Learning in Non-Stationary Environments

Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar

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

Journal ref Applied Intelligence 2020

1906.05838 2020-05-28 cs.LG cs.AI cs.NE stat.ML 62%

Goal-conditioned Imitation Learning

Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel

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

Comments Published at NeurIPS 2019

2005.12254 2020-05-26 cs.LG cs.AI stat.ML 62%

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Jaskirat Singh, Liang Zheng

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

1909.02982 2020-05-26 cs.LG cs.AI cs.HC cs.NE stat.ML 62%

DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

Theo Jaunet, Romain Vuillemot, Christian Wolf

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

2005.03233 2020-05-08 cs.LG cs.AI 62%

Safe Reinforcement Learning through Meta-learned Instincts

Djordje Grbic, Sebastian Risi

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

2001.02153 2020-05-07 cs.LG cs.RO stat.ML 62%

Information Theoretic Model Predictive Q-Learning

Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots

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

Comments Extended version (15 pages) of paper accepted at the 2nd Learning for Dynamics and Control (L4DC) Conference, 2020

2004.07276 2020-05-05 eess.SY cs.LG cs.RO cs.SY 62%

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning

Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Claire J. Tomlin, S. Shankar Sastry, Koushil Sreenath

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

Comments Final version appearing in Learning for Dynamics and Control (L4DC) 2020 Conference

2004.12846 2020-04-29 cs.NE cs.AI cs.LG 62%

Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems

Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen Pilly, Andrea Soltoggio

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

Comments 9 pages. Accepted as a full paper in the Genetic and Evolutionary Computation Conference (GECCO 2020)

2004.11410 2020-04-27 cs.LG cs.AI stat.ML 62%

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber

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

2004.10698 2020-04-24 cs.LG cs.AI 62%

AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning

Keting Lu, Shiqi Zhang, Xiaoping Chen

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

1912.02945 2020-04-24 cs.LG cs.MA cs.RO stat.ML 62%

A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

Thanh-Trung Trinh, Dinh-Minh Vu, Masaomi Kimura

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

1910.13272 2020-04-23 math.OC cs.AI cs.LG cs.SY eess.SY 62%

Feedback Linearization for Unknown Systems via Reinforcement Learning

Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin

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

2004.02762 2020-04-07 cs.LG cs.AI 62%

Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning

Ayberk Aydın, Elif Surer

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

Comments in Turkish

2003.11126 2020-03-26 cs.LG cs.AI stat.ML 62%

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning

Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

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

Comments Published at ICLR 2020

2003.07417 2020-03-18 cs.LG cs.AI cs.NE 62%

Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks

Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White

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

Comments 10 pages; Accepted to AAMAS 2020

2003.02637 2020-03-06 cs.RO cs.LG 62%

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart, Juan Nieto

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

Comments 6 pages, 6 figures, 2 tables, submitted to RA-L/IROS

2003.02636 2020-03-06 cs.RO cs.LG stat.ML 62%

Scalable Multi-Task Imitation Learning with Autonomous Improvement

Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn

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

Comments Accepted to ICRA 2020. Supplementary material at https://sites.google.com/view/scalable-mili

1909.13607 2020-03-05 cs.LG cs.AI stat.ML 62%

MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning

Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen

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

Comments Accepted to the ICLR 2020 workshop: Beyond tabula rasa in RL (BeTR-RL)

1903.05751 2020-03-05 stat.ML cs.LG cs.RO 62%

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama

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

Comments 8 pages, 6 figures, Accepted to IROS 2019

1. 模仿学习与强化学习 4134 篇

ADAIL: Adaptive Adversarial Imitation Learning

An ocular biomechanics environment for reinforcement learning

Learning Transition Models with Time-delayed Causal Relations

Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning

What can I do here? A Theory of Affordances in Reinforcement Learning

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

TOMA: Topological Map Abstraction for Reinforcement Learning

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks

Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL

Reinforcement Learning in Non-Stationary Environments

Goal-conditioned Imitation Learning

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

Safe Reinforcement Learning through Meta-learned Instincts

Information Theoretic Model Predictive Q-Learning

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning

Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning

A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

Feedback Linearization for Unknown Systems via Reinforcement Learning

Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning

Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning

Scalable Multi-Task Imitation Learning with Autonomous Improvement

MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning