机器人 / 具身智能 - arXivDaily 专题

2105.03489 2021-05-11 cs.RO 57%

Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance

S. Luo, G. Androwis, S. Adamovich, H. Su, X. Zhou

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

2104.06630 2021-04-20 cs.LG 57%

A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals

Connor van Rossum, Candice Feinberg, Adam Abu Shumays, Kyle Baxter, Benedek Bartha

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

Comments This work has been submitted to the IEEE for possible publication

2103.14407 2021-04-14 cs.LG 57%

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried

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

2007.13363 2021-04-14 cs.AI 57%

Learning Compositional Neural Programs for Continuous Control

Thomas Pierrot, Nicolas Perrin, Feryal Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

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

2104.02981 2021-04-13 cs.IR cs.LG 57%

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

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

Comments 9 pages, 4 figures, to be published in Proceedings of the AAAI Conference on Artificial Intelligence 2021

2104.02844 2021-04-08 eess.SY cs.AI cs.SY 57%

GEM: Group Enhanced Model for Learning Dynamical Control Systems

Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin

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

Comments 14 pages, 8 figures

2104.01655 2021-04-06 cs.LG 57%

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation

Emilio Parisotto, Ruslan Salakhutdinov

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

Comments Published at ICLR 2021

2104.01167 2021-04-05 cs.RO 57%

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez

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

2104.00241 2021-04-02 cs.LG 57%

Variational Inference MPC using Tsallis Divergence

Ziyi Wang, Oswin So, Jason Gibson, Bogdan Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

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

2103.15309 2021-03-30 cs.RO 57%

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid

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

Comments "Supplemental video: https://www.youtube.com/watch?v=j8KbW-a9dbw"

1912.05652 2021-03-26 cs.CY cs.LG stat.ML 57%

Learning Human Objectives by Evaluating Hypothetical Behavior

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike

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 Machine Learning (ICML) 2020

2011.04251 2021-03-25 cs.LG 57%

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships

Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura

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

Comments ICRA 2021

2009.01495 2021-03-23 cs.LG stat.ML 57%

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Ran Tian, Liting Sun, Masayoshi Tomizuka

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

Comments Accepted by 2021 AAAI Conference on Artificial Intelligence

Journal ref 2021 AAAI Conference on Artificial Intelligence

2005.08215 2021-03-19 cs.NI cs.RO 57%

Reinforcement Learning based Transmission Range Control in Software-Defined Wireless Sensor Networks with Moving Sensor

Anuradha Banerjee, Abu Sufian, Ali Safaa Sadiq, Seyedali Mirjalili

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

Comments 27 pages, 20 figures, This is an Under Review Pre-print copy

2103.00452 2021-03-15 cs.RO 57%

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Yanlong Huang

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

Comments 8 pages

2103.06398 2021-03-12 cs.LG 57%

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

Trevor A. McInroe, Michael Spurrier, Jennifer Sieber, Stephen Conneely

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

Comments 11 pages, 29 figures

2103.04910 2021-03-09 cs.LG cs.SY eess.SY 57%

A Crash Course on Reinforcement Learning

Farnaz Adib Yaghmaie, Lennart Ljung

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

Comments https://github.com/FarnazAdib/Crash_course_on_RL

2103.02727 2021-03-05 cs.RO cs.HC 57%

Preference-based Learning of Reward Function Features

Sydney M. Katz, Amir Maleki, Erdem Bıyık, Mykel J. Kochenderfer

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

Comments 8 pages, 8 figures

2102.04285 2021-03-05 cs.LG cs.SE 57%

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads

James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko

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

Comments RL-Scope is an open-source tool available at https://github.com/UofT-EcoSystem/rlscope . Proceedings of the 4th MLSys Conference, 2021. Changes: camera ready for MLSys publication -- shorten abstract, add acknowledgements, minor grammar fixes

2103.02315 2021-03-04 cs.RO 57%

Reinforcement Learning Control of a Forestry Crane Manipulator

Jennifer Andersson, Kenneth Bodin, Daniel Lindmark, Martin Servin, Erik Wallin

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

Comments 8 pages, 6 figures

2004.13965 2021-02-17 cs.LG stat.ML 57%

Graph-based State Representation for Deep Reinforcement Learning

Vikram Waradpande, Daniel Kudenko, Megha Khosla

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

2009.01090 2021-02-16 math.OC cs.RO 57%

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search

Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou

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

2101.08828 2021-01-25 math.OC cs.RO 57%

E-commerce warehousing: learning a storage policy

Adrien Rimélé, Philippe Grangier, Michel Gamache, Michel Gendreau, Louis-Martin Rousseau

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

Comments 19 pages, 2 tables, 6 figures

1909.13018 2021-01-21 cs.RO 57%

Imitation Learning Based on Bilateral Control for Human-Robot Cooperation

Ayumu Sasagawa, Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji

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

Comments Copyright 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

2008.10861 2021-01-12 cs.LG stat.ML 57%

t-Soft Update of Target Network for Deep Reinforcement Learning

Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo

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

Comments 11 pages, 7 figures

Journal ref Neural Networks, 2021

1907.10580 2021-01-05 cs.LG stat.ML 57%

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL

Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

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

2003.06751 2020-12-24 cs.RO 57%

Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning

Shidi Li

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

Comments Disapproval of funding organization

2012.09503 2020-12-18 cs.CV 57%

Embodied Visual Active Learning for Semantic Segmentation

David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu

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

Comments Accepted to AAAI 2021

2012.04322 2020-12-18 cs.NE cs.LG math.OC stat.ML 57%

Quality-Diversity Optimization: a novel branch of stochastic optimization

Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret

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

Comments 13 pages, 4 figures, 3 algorithms, to be published in "Black Box Optimization, Machine Learning and No-Free Lunch Theorems", P. Pardalos, V. Rasskazova, M.N. Vrahatis, Ed., Springer

1909.13111 2020-12-11 cs.LG stat.ML 57%

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya

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

Journal ref Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence 2020. Pages 3108-3116

1. 模仿学习与强化学习 4134 篇

Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance

A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

Learning Compositional Neural Programs for Continuous Control

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

GEM: Group Enhanced Model for Learning Dynamical Control Systems

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Variational Inference MPC using Tsallis Divergence

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Learning Human Objectives by Evaluating Hypothetical Behavior

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Reinforcement Learning based Transmission Range Control in Software-Defined Wireless Sensor Networks with Moving Sensor

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

A Crash Course on Reinforcement Learning

Preference-based Learning of Reward Function Features

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads

Reinforcement Learning Control of a Forestry Crane Manipulator

Graph-based State Representation for Deep Reinforcement Learning

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search

E-commerce warehousing: learning a storage policy

Imitation Learning Based on Bilateral Control for Human-Robot Cooperation

t-Soft Update of Target Network for Deep Reinforcement Learning

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL

Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning

Embodied Visual Active Learning for Semantic Segmentation

Quality-Diversity Optimization: a novel branch of stochastic optimization

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics