机器人 / 具身智能 - arXivDaily 专题

2009.03349 2020-09-10 cs.LG cs.SY eess.SY stat.ML 57%

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin

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

Comments Preprint of Book Chapter to be published in Springer

2005.05441 2020-09-01 cs.LG cs.MA stat.ML 57%

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao

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

2008.11811 2020-08-28 cs.LG math.OC stat.ML 57%

Constrained Markov Decision Processes via Backward Value Functions

Harsh Satija, Philip Amortila, Joelle Pineau

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

2004.11543 2020-08-28 cs.RO cs.MA 57%

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding

Hung The Nguyen, Tung Duy Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha Anavatti, Michael Barlow, Hussein A. Abbass

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

1902.09062 2020-08-18 stat.ML cs.CR cs.LG 57%

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

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

Comments 8 pages, 4 figures

2008.02521 2020-08-07 cs.RO 57%

Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data

Lei He, Nabil Aouf, James F. Whidborne, Bifeng Song

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

Comments Please find video demos at https://www.youtube.com/watch?v=4Zj49QtDdks

2001.02435 2020-08-04 cs.LG stat.ML 57%

A Nonparametric Off-Policy Policy Gradient

Samuele Tosatto, Joao Carvalho, Hany Abdulsamad, Jan Peters

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

2002.03827 2020-07-22 cs.LG cs.CR cs.SY eess.SY math.OC stat.ML 57%

Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals

Yunhan Huang, Quanyan Zhu

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

Comments This chapter is written for the forthcoming book "Game Theory and Machine Learning for Cyber Security" (Wiley-IEEE Press), edited by Charles Kamhoua et. al. arXiv admin note: text overlap with arXiv:1906.10571

2007.09540 2020-07-21 cs.AI 57%

Multi-Principal Assistance Games

Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart Russell

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

2007.06123 2020-07-14 cs.SD cs.LG eess.AS stat.ML 57%

OtoWorld: Towards Learning to Separate by Learning to Move

Omkar Ranadive, Grant Gasser, David Terpay, Prem Seetharaman

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

Comments Published in Self Supervision in Audio and Speech Workshop, 37th International Conference on Machine Learning, Vienna, Austria (ICML 2020)

2007.00463 2020-07-02 cs.AI 57%

A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing

Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha

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

Comments 9 pages, 9 figures

2007.00425 2020-07-02 cs.LG stat.ML 57%

Interaction-limited Inverse Reinforcement Learning

Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher

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

2005.06800 2020-06-30 cs.LG stat.ML 57%

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin

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

Comments Accepted in ICML2020. First two authors contributed equally, website: https://sites.google.com/view/cadm code: https://github.com/younggyoseo/CaDM

1906.08383 2020-06-30 math.OC cs.LG cs.SY eess.SY math.ST stat.TH 57%

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Başar

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

Comments Initially submitted in Jan. 2019. Accepted to SIAM Journal on Control and Optimization (SICON)

2004.03499 2020-06-29 cs.LG stat.ML 57%

Online Constrained Model-based Reinforcement Learning

Benjamin van Niekerk, Andreas Damianou, Benjamin Rosman

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

Comments Conf. Uncertainty in Artificial Intelligence (UAI). 2017

2006.10810 2020-06-22 cs.LG stat.ML 57%

Reparameterized Variational Divergence Minimization for Stable Imitation

Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan

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

2006.07815 2020-06-16 cs.LG math.OC stat.ML 57%

Optimistic Distributionally Robust Policy Optimization

Jun Song, Chaoyue Zhao

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

2006.07777 2020-06-16 cs.LG cs.HC stat.ML 57%

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms

Khanh Nguyen, Hal Daumé

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

2006.07041 2020-06-15 stat.ML cs.LG 57%

Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch

Michael Wan, Tanmay Gangwani, Jian Peng

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

Comments Conference on Uncertainty in Artificial Intelligence (UAI 2020)

1902.09725 2020-06-11 cs.AI 57%

Conservative Agency via Attainable Utility Preservation

Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli

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

Comments Published in AI, Ethics, and Society 2020

2001.10570 2020-06-08 cs.SI cs.LG 57%

Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election

Luca Luceri, Silvia Giordano, Emilio Ferrara

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

1905.08786 2020-05-26 cs.LG stat.ML 57%

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Rui Zhao, Xudong Sun, Volker Tresp

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

Comments Published in International Conference on Machine Learning (ICML 2019), Long Beach, USA. arXiv admin note: text overlap with arXiv:1902.08039

Journal ref PMLR 97:7553-7562, 2019

2004.00981 2020-05-19 cs.AI 57%

Benchmarking End-to-End Behavioural Cloning on Video Games

Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki

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

Comments To appear in IEEE Conference on Games 2020. Experiment code available at https://github.com/joonaspu/video-game-behavioural-cloning and https://github.com/joonaspu/ViControl

2005.00935 2020-05-05 cs.LG cs.MA cs.SY eess.SP eess.SY stat.ML 57%

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

Ammar Haydari, Yasin Yilmaz

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

2004.12909 2020-05-01 cs.LG stat.ML 57%

Evolutionary Stochastic Policy Distillation

Hao Sun, Xinyu Pan, Bo Dai, Dahua Lin, Bolei Zhou

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

2004.02380 2020-04-07 cs.LG stat.ML 57%

Intrinsic Exploration as Multi-Objective RL

Philippe Morere, Fabio Ramos

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

2003.10026 2020-03-24 cs.NE cs.RO cs.SY eess.SY 57%

Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation

Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury

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

Comments 5 pages, 7 figures, to be published in proceeding of IEEE AICAS

2003.05325 2020-03-12 cs.LG stat.ML 57%

Meta-learning curiosity algorithms

Ferran Alet, Martin F. Schneider, Tomas Lozano-Perez, Leslie Pack Kaelbling

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

Comments Published in ICLR 2020

1712.06489 2020-03-10 cs.RO 57%

Multi-Fidelity Reinforcement Learning with Gaussian Processes

Varun Suryan, Nahush Gondhalekar, Pratap Tokekar

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

2003.00179 2020-03-04 cs.LG stat.ML 57%

TAdam: A Robust Stochastic Gradient Optimizer

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

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

Comments 9 pages

1. 模仿学习与强化学习 4116 篇

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Constrained Markov Decision Processes via Backward Value Functions

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data

A Nonparametric Off-Policy Policy Gradient

Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals

Multi-Principal Assistance Games

OtoWorld: Towards Learning to Separate by Learning to Move

A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing

Interaction-limited Inverse Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Online Constrained Model-based Reinforcement Learning

Reparameterized Variational Divergence Minimization for Stable Imitation

Optimistic Distributionally Robust Policy Optimization

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms

Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch

Conservative Agency via Attainable Utility Preservation

Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Benchmarking End-to-End Behavioural Cloning on Video Games

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

Evolutionary Stochastic Policy Distillation

Intrinsic Exploration as Multi-Objective RL

Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation

Meta-learning curiosity algorithms

Multi-Fidelity Reinforcement Learning with Gaussian Processes

TAdam: A Robust Stochastic Gradient Optimizer