机器人 / 具身智能 - arXivDaily 专题

2205.13771 2022-05-30 cs.CL 50%

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah

专题命中模仿学习与强化学习：embodied agent(abstract)

Comments arXiv admin note: text overlap with arXiv:2110.06536

2004.10288 2022-03-10 math.OC cs.SY eess.SY 50%

A Bayesian perspective on classical control

Manuel Baltieri

专题命中模仿学习与强化学习：robotics(abstract)

Comments 8 pages, Accepted at IJCNN 2020

1803.06425 2022-02-14 cond-mat.soft physics.bio-ph 50%

Reinforcement Learning of Artificial Microswimmers

Santiago Muiños-Landin, Keyan Ghazi-Zahedi, Frank Cichos

专题命中模仿学习与强化学习：navigation(abstract)

2201.06257 2022-01-19 cs.MA 50%

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning

Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu

专题命中模仿学习与强化学习：navigation(abstract)

Comments Accepted by AAMAS2022

2104.11635 2022-01-05 cond-mat.mes-hall cond-mat.mtrl-sci 50%

Exploring Electron Beam Induced Atomic Assembly via Reinforcement Learning in a Molecular Dynamics Environment

Rama K. Vasudevan, Ayana Ghosh, Maxim Ziatdinov, Sergei V. Kalinin

专题命中模仿学习与强化学习：manipulation(abstract)

Comments 17 pages, 5 figures

2008.11895 2021-11-24 eess.SY cs.SY 50%

Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning

Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro

专题命中模仿学习与强化学习：navigation(abstract)

2001.09816 2021-11-12 eess.SY cs.SY 50%

Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data

Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun, Bo Cheng

专题命中模仿学习与强化学习：manipulation(abstract)

Journal ref IET Intelligent Transport Systems, 2020, 14(5): 297-305

2010.10429 2021-09-15 physics.flu-dyn 50%

Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth

Feng Ren, Hui Tang

专题命中模仿学习与强化学习：robotics(abstract)

2003.12845 2021-08-31 physics.bio-ph 50%

Coordinated Crawling via Reinforcement Learning

Shruti Mishra, Wim M. van Rees, L. Mahadevan

专题命中模仿学习与强化学习：robotics(abstract)

2103.09284 2021-06-16 cs.MA 50%

Learning in Nonzero-Sum Stochastic Games with Potentials

David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

专题命中模仿学习与强化学习：navigation(abstract)

Comments ICML 2021

2103.12192 2021-05-18 cs.MA 50%

Reward-Reinforced Reinforcement Learning for Multi-agent Systems

Changgang Zheng, Shufan Yang, Juan Parra-Ullauri, Antonio Garcia-Dominguez, Nelly Bencomo

专题命中模仿学习与强化学习：robotics(abstract)

Comments 9 pages, 9 figures

2011.00632 2021-03-24 eess.SY cs.FL cs.SY 50%

Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear 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)

Comments Accepted for ACC 2021

2012.05490 2020-12-11 cs.NI 50%

PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge

Benjamin Sliwa, Cedrik Schüler, Manuel Patchou, Christian Wietfeld

专题命中模仿学习与强化学习：robotic(abstract)

1912.06615 2020-07-10 q-bio.NC 50%

Lessons from reinforcement learning for biological representations of space

Alex Muryy, N. Siddharth, Nantas Nardelli, Philip H. S. Torr, Andrew Glennerster

专题命中模仿学习与强化学习：navigation(abstract)

Comments 40 pages including Appendix, 6 figures plus 3 figures in Appendix. Accepted for publication in Vision Research

1909.11119 2020-06-30 math.OC math.DS 50%

Supervised Learning Algorithms for Controlling Underactuated Dynamical Systems

Bharat Monga, Jeff Moehlis

专题命中模仿学习与强化学习：robotics(abstract)

Comments Python implementation of the learning algorithms for some of the systems is available at https://github.com/bharatmonga/Supervised-learning-algorithms

Journal ref Physica D: Nonlinear Phenomena, 412, (2020)

2003.04603 2020-03-11 cs.NE 50%

Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang

专题命中模仿学习与强化学习：robotic(abstract)

Journal ref Neural Networks, 2020

2003.02182 2020-03-05 eess.SY cs.SY 50%

Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach

Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari

专题命中模仿学习与强化学习：robotic(abstract)

Comments 46 pages, 14 figures, Acta Astronautica, Pre-proof, Available March 4, 2020

2002.08415 2020-02-21 eess.SY cs.SY eess.SP 50%

UAV Aided Search and Rescue Operation Using Reinforcement Learning

Shriyanti Kulkarni, Vedashree Chaphekar, Md Moin Uddin Chowdhury, Fatih Erden, Ismail Guvenc

专题命中模仿学习与强化学习：navigation(abstract)

Comments Accepted in IEEE SoutheastCon 2020, Raleigh, NC

1911.11640 2019-11-27 math.OC 50%

A Stochastic Trust-Region Framework for Policy Optimization

Mingming Zhao, Yongfeng Li, Zaiwen Wen

专题命中模仿学习与强化学习：robotic(abstract)

Comments 26pages

1909.08088 2019-09-19 astro-ph.IM 50%

Characterization of atmospheric properties at the future sites of the Cherenkov Telescope Array

Jan Ebr, Dušan Mandát, Miroslav Pech, Ladislav Chytka, Jakub Juryšek, Michael Prouza, Petr Janeček, Petr Trávníček, Jiří Blažek, Tomasz Bulik, Marek Cieslar, Mariusz Suchenek, Vincenzo Rizi, Ermanno Pietropaolo, Marco Iarlori, Carla Aramo, Laura Valore, Federico Di Pierro, Piero Vallania, Davide Depaoli, Martin Will, Markus Gaug, Lluís Font, Martin Mašek, Jiří Eliášek, Martin Jelínek, Sergey Karpov

专题命中模仿学习与强化学习：robotic(abstract)

Comments Proceedings of the ICRC 2019 PoS(ICRC2019)667

1811.07208 2018-12-03 physics.soc-ph cond-mat.stat-mech cs.CL 50%

Emergence of linguistic conventions in multi-agent reinforcement learning

Dorota Lipowska, Adam Lipowski

专题命中模仿学习与强化学习：robotics(abstract)

Comments 18 pages, PLOS ONE (accepted)

Journal ref PLoS ONE 13(11): e0208095 (2018)

1811.11040 2018-11-28 q-bio.NC q-bio.QM 50%

Modelling zebrafish collective behaviours with multilayer perceptrons optimised by evolutionary algorithms

Leo Cazenille, Nicolas Bredeche, José Halloy

专题命中模仿学习与强化学习：robotic(abstract)

Comments 22 pages, 11 figures, 1 table. arXiv admin note: text overlap with arXiv:1808.03166

1705.00565 2018-10-02 quant-ph cond-mat.other cond-mat.quant-gas cond-mat.stat-mech 50%

Reinforcement Learning in Different Phases of Quantum Control

Marin Bukov, Alexandre G. R. Day, Dries Sels, Phillip Weinberg, Anatoli Polkovnikov, Pankaj Mehta

专题命中模仿学习与强化学习：manipulation(abstract)

Comments A legend for the videos referred to in the paper is available on https://mgbukov.github.io/RL_movies/

Journal ref Phys. Rev. X 8, 031086 (2018)

1709.02379 2017-09-08 physics.bio-ph cond-mat.stat-mech 50%

Optimizing collective fieldtaxis of swarming agents through reinforcement learning

Glenn Palmer, Sho Yaida

专题命中模仿学习与强化学习：robotics(abstract)

Comments 6 pages, 3 figures

1611.05638 2016-11-18 cs.MA 50%

Fictitious play for cooperative action selection in robot teams

Michalis Smyrnakis, Sandor M. Veres

专题命中模仿学习与强化学习：robotic(abstract)

Comments arXiv admin note: text overlap with arXiv:1301.3347

Journal ref Engineering Applications of Artificial Intelligence, Volume 56, November 2016, Pages 14-29

1505.04357 2015-05-19 cs.NE 50%

Evolving Spiking Networks with Variable Resistive Memories

Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Ella Gale

专题命中模仿学习与强化学习：robotic(abstract)

Comments 27 pages

Journal ref Evolutionary Computation, Spring 2014, Vol. 22, No. 1, Pages 79-103 Posted Online February 7, 2014

1504.07041 2015-05-01 cs.SE 50%

On the Verification of SCOOP Programs

Georgiana Caltais, Bertrand Meyer

专题命中模仿学习与强化学习：robotics(abstract)

Comments arXiv admin note: substantial text overlap with arXiv:1409.7509

1. 模仿学习与强化学习 4137 篇

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

A Bayesian perspective on classical control

Reinforcement Learning of Artificial Microswimmers

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning

Exploring Electron Beam Induced Atomic Assembly via Reinforcement Learning in a Molecular Dynamics Environment

Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning

Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data

Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth

Coordinated Crawling via Reinforcement Learning

Learning in Nonzero-Sum Stochastic Games with Potentials

Reward-Reinforced Reinforcement Learning for Multi-agent Systems

Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications

PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge

Lessons from reinforcement learning for biological representations of space

Supervised Learning Algorithms for Controlling Underactuated Dynamical Systems

Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach

UAV Aided Search and Rescue Operation Using Reinforcement Learning

A Stochastic Trust-Region Framework for Policy Optimization

Characterization of atmospheric properties at the future sites of the Cherenkov Telescope Array

Emergence of linguistic conventions in multi-agent reinforcement learning

Modelling zebrafish collective behaviours with multilayer perceptrons optimised by evolutionary algorithms

Reinforcement Learning in Different Phases of Quantum Control

Optimizing collective fieldtaxis of swarming agents through reinforcement learning

Fictitious play for cooperative action selection in robot teams

Evolving Spiking Networks with Variable Resistive Memories

On the Verification of SCOOP Programs