机器人 / 具身智能 - arXivDaily 专题

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

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

1. 模仿学习与强化学习 4134 篇

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

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