机器人 / 具身智能 - arXivDaily 专题

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

2012.04210 2020-12-09 cs.LG cs.AR 57%

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu

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

Comments To appear in the proceedings of the 6th Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2) 2020

2002.03240 2020-12-08 cs.LG stat.ML 57%

Multi-task Reinforcement Learning with a Planning Quasi-Metric

Vincent Micheli, Karthigan Sinnathamby, François Fleuret

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

Comments Deep RL Workshop, NeurIPS 2020

2011.12574 2020-11-26 cs.LG stat.ML 57%

Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Jaskirat Singh, Liang Zheng

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

2011.11293 2020-11-24 cs.LG cs.NE 57%

Evolutionary Planning in Latent Space

Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi

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

Comments Code to reproduce the experiments are available at https://github.com/two2tee/WorldModelPlanning Video of driving performance is available at https://youtu.be/3M39QgeF27U

2011.09445 2020-11-19 cs.RO 57%

Cautious Bayesian Optimization for Efficient and Scalable Policy Search

Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske

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

2011.08272 2020-11-18 cs.CL cs.AI 57%

NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks

Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage

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

Comments Accepted at Wordplay: When Language Meets Games Workshop @ NeurIPS 2020

2011.06116 2020-11-13 cs.RO cs.SY eess.SY 57%

A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton

Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He, Huang

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

Comments 7 pages, 9 figures, ICRA 2021

2011.00397 2020-11-03 cs.RO 57%

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone

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

2010.13056 2020-10-27 cs.RO 57%

Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot

Yunlei Shi, Zhaopeng Chen, Hongxu Liu, Sebastian Riedel, Chunhui Gao, Qian Feng, Jun Deng, Jianwei Zhang

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

Comments 6 pages

2010.12142 2020-10-26 cs.LG 57%

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang

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

Comments Published on 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

1905.10691 2020-10-22 cs.LG stat.ML 57%

Safe Reinforcement Learning with Nonlinear Dynamics via Model Predictive Shielding

Osbert Bastani

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

2010.08443 2020-10-19 cs.LG cs.SY eess.SY 57%

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes

Santiago Paternain, Juan Andres Bazerque, Alejandro Ribeiro

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

1903.09762 2020-10-14 cs.RO 57%

TTR-Based Reward for Reinforcement Learning with Implicit Model Priors

Xubo Lyu, Mo Chen

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

Comments This is serving as the full version of the paper that is accepted by IEEE / RSJ International Conference on Intelligent Robots and Systems, 2020

2010.02506 2020-10-07 cs.LG stat.ML 57%

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

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

Comments arXiv admin note: substantial text overlap with arXiv:2008.12001

2009.09361 2020-09-22 eess.SY cs.LG cs.SY 57%

Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Qingrui Zhang, Hao Dong, Wei Pan

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

Comments Accepted to The 2nd International Conference on Distributed Artificial Intelligence

1909.08749 2020-09-17 stat.ML cs.LG math.OC math.PR math.ST stat.TH 57%

Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular reinforcement learning

Ashwin Pananjady, Martin J. Wainwright

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

Comments Version v2 is consistent with manuscript to appear in IEEE Transactions on Information Theory

2009.04777 2020-09-11 cs.LG stat.ML 57%

A framework for reinforcement learning with autocorrelated actions

Marcin Szulc, Jakub Łyskawa, Paweł Wawrzyński

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

Comments The 27th International Conference on Neural Information Processing (ICONIP2020)

1. 模仿学习与强化学习 4116 篇

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

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Multi-task Reinforcement Learning with a Planning Quasi-Metric

Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Evolutionary Planning in Latent Space

Cautious Bayesian Optimization for Efficient and Scalable Policy Search

NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks

A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

Safe Reinforcement Learning with Nonlinear Dynamics via Model Predictive Shielding

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes

TTR-Based Reward for Reinforcement Learning with Implicit Model Priors

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular reinforcement learning

A framework for reinforcement learning with autocorrelated actions