机器人 / 具身智能 - arXivDaily 专题

2103.12020 2022-01-04 cs.LG stat.ML 57%

Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method

Duo Xu, Faramarz Fekri

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

2110.01101 2021-12-24 cs.LG cs.SY eess.SY 57%

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations

Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna

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

Comments 10 pages. HiPC21

2112.05218 2021-12-13 cs.AI 57%

Learning Generalizable Behavior via Visual Rewrite Rules

Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael Littman

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

Comments AAAI 2022 Workshop on Reinforcement Learning in Games

2112.02694 2021-12-07 cs.LG 57%

Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning

Aaqib Parvez Mohammed, Matias Valdenegro-Toro

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

Comments 9 pages, 5 figures, 5 tables, Bayesian Deep Learning Workshop @ NeurIPS 2021

2111.11743 2021-11-24 cs.GT cs.LG math.DS 57%

Independent Learning in Stochastic Games

Asuman Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang

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

Comments An invited chapter for the International Congress of Mathematicians 2022 (ICM 2022)

1903.09688 2021-11-16 cs.LG cs.NE cs.SY eess.SY stat.ML 57%

Symbolic Regression Methods for Reinforcement Learning

Jiří Kubalík, Erik Derner, Jan Žegklitz, Robert Babuška

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

Journal ref in IEEE Access, vol. 9, pp. 139697-139711, 2021

2107.03380 2021-11-15 cs.RO 57%

RRL: Resnet as representation for Reinforcement Learning

Rutav Shah, Vikash Kumar

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

Comments Published at ICML 2021

2111.06017 2021-11-12 cs.RO 57%

Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments

Yandong Liu, Chengzhong Xu, Hui Kong

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

Comments 9 pages, 9 figures

1908.02805 2021-11-08 math.OC cs.LG cs.MA 57%

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović

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

Comments 29 pages, 4 figures

2110.15172 2021-10-29 cs.LG stat.ML 57%

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson

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

Comments NeurIPS 2021

2110.14770 2021-10-29 cs.LG 57%

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

Mengjiao Yang, Sergey Levine, Ofir Nachum

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

2105.13345 2021-10-29 cs.LG 57%

Adversarial Intrinsic Motivation for Reinforcement Learning

Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone

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

2109.02145 2021-10-28 cs.LG 57%

Temporal Shift Reinforcement Learning

Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari

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

2107.06106 2021-10-28 cs.LG 57%

Conservative Offline Distributional Reinforcement Learning

Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani

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

Comments NeurIPS 2021

2106.08918 2021-10-26 cs.LG cs.NE cs.SY eess.SY 57%

Towards Automatic Actor-Critic Solutions to Continuous Control

Jake Grigsby, Jin Yong Yoo, Yanjun Qi

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

Comments NeurIPS Deep RL Workshop 2021

2010.16244 2021-10-26 cs.AI 57%

Interleaving Fast and Slow Decision Making

Aditya Gulati, Sarthak Soni, Shrisha Rao

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

Comments 7 pages, 11 figures; typos corrected, references added

2010.00163 2021-10-26 cs.LG stat.ML 57%

Bayesian Meta-reinforcement Learning for Traffic Signal Control

Yayi Zou, Zhiwei Qin

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

2110.07395 2021-10-15 cs.LG 57%

Offline Reinforcement Learning with Soft Behavior Regularization

Haoran Xu, Xianyuan Zhan, Jianxiong Li, Honglei Yin

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

1901.08562 2021-10-12 cs.LG stat.ML 57%

Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems

Osbert Bastani

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

2110.04649 2021-10-12 cs.AI 57%

Interactive Hierarchical Guidance using Language

Bharat Prakash, Nicholas Waytowich, Tim Oates, Tinoosh Mohsenin

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

Comments Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)

2110.01926 2021-10-06 cs.RO 57%

Improved Reinforcement Learning Coordinated Control of a Mobile Manipulator using Joint Clamping

Denis Hadjivelichkov, Kostas Vlachos, Dimitrios Kanoulas

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

Comments 6 pages, 6 figures, 3 tables

2109.13851 2021-09-29 cs.LG q-fin.CP 57%

Reinforcement Learning for Quantitative Trading

Shuo Sun, Rundong Wang, Bo An

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

2109.13377 2021-09-29 eess.SY cs.AI cs.FL cs.SY 57%

Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications

Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo

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

Comments Accepted for CDC 2021

2107.09650 2021-09-29 cs.RO 57%

Learning to Share Autonomy Across Repeated Interaction

Ananth Jonnavittula, Dylan P. Losey

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

Comments 8 pages, 10 figures

2109.10719 2021-09-28 cs.RO cs.SY eess.SY 57%

Autonomous Blimp Control using Deep Reinforcement Learning

Yu Tang Liu, Eric Price, Pascal Goldschmid, Michael J. Black, Aamir Ahmad

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

2109.10460 2021-09-23 cs.RO 57%

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

K. Niranjan Kumar, Irfan Essa, Sehoon Ha

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

2109.08231 2021-09-20 cs.LG 57%

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning

Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy

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

2004.12919 2021-09-17 cs.AI 57%

First return, then explore

Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune

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

Comments 47 pages, 14 figures, 4 tables; reorganized sections and modified SI text extensively; added reference to the published version, changed title to published title; added reference to published unformatted pdf

Journal ref Nature 590, 580-586 (2021)

2107.03186 2021-09-15 cs.RO stat.ML 57%

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning

Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier

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

2108.05872 2021-08-13 cs.AI 57%

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning

Willie McClinton, Andrew Levy, George Konidaris

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

1. 模仿学习与强化学习 4116 篇

Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations

Learning Generalizable Behavior via Visual Rewrite Rules

Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning

Independent Learning in Stochastic Games

Symbolic Regression Methods for Reinforcement Learning

RRL: Resnet as representation for Reinforcement Learning

Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

Adversarial Intrinsic Motivation for Reinforcement Learning

Temporal Shift Reinforcement Learning

Conservative Offline Distributional Reinforcement Learning

Towards Automatic Actor-Critic Solutions to Continuous Control

Interleaving Fast and Slow Decision Making

Bayesian Meta-reinforcement Learning for Traffic Signal Control

Offline Reinforcement Learning with Soft Behavior Regularization

Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems

Interactive Hierarchical Guidance using Language

Improved Reinforcement Learning Coordinated Control of a Mobile Manipulator using Joint Clamping

Reinforcement Learning for Quantitative Trading

Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications

Learning to Share Autonomy Across Repeated Interaction

Autonomous Blimp Control using Deep Reinforcement Learning

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning

First return, then explore

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning