机器人 / 具身智能 - arXivDaily 专题

1904.01806 2019-04-04 cs.LG stat.ML 57%

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin

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

1904.01139 2019-04-03 cs.LG stat.ML 57%

Generative predecessor models for sample-efficient imitation learning

Yannick Schroecker, Mel Vecerik, Jonathan Scholz

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

1903.02183 2019-03-07 cs.AI stat.ML 57%

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning

Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka

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

Comments Proceedings of the SICE Annual Conference 2018 (pp.1376-1379)

1902.07257 2019-02-21 cs.LG stat.ML 57%

DOM-Q-NET: Grounded RL on Structured Language

Sheng Jia, Jamie Kiros, Jimmy Ba

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

Comments International Conference on Learning Representations (ICLR), 2019

1902.00528 2019-02-19 cs.LG stat.ML 57%

Competitive Experience Replay

Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

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 Seventh International Conference on Learning Representations(ICLR 2019)

1806.00877 2019-01-10 cs.LG math.OC stat.ML 57%

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

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

Comments final version as appeared in NeurIPS 2018

1811.11441 2018-12-18 cs.LG stat.ML 57%

Trajectory-based Learning for Ball-in-Maze Games

Sujoy Paul, Jeroen van Baar

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

Comments Accepted at NIPS 2018 Workshop on Imitation Learning

1811.12651 2018-12-03 cs.RO 57%

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning

Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia

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

Comments 20 pages

1701.07274 2018-11-27 cs.LG 57%

Deep Reinforcement Learning: An Overview

Yuxi Li

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

Comments Please see Deep Reinforcement Learning, arXiv:1810.06339, for a significant update

1809.11074 2018-11-26 cs.AI 57%

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen

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

1811.07489 2018-11-20 cs.RO 57%

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon

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

Comments accepted in WAFR 2018

1709.07932 2018-11-19 cs.RO 57%

Expanding Motor Skills through Relay Neural Networks

Visak C. V. Kumar, Sehoon Ha, C. Karen Liu

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

1809.06719 2018-11-06 cs.LG stat.ML 57%

Improvements on Hindsight Learning

Ameet Deshpande, Srikanth Sarma, Ashutosh Jha, Balaraman Ravindran

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

1810.11748 2018-10-30 cs.HC cs.LG 57%

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback

Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda

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

1810.06339 2018-10-16 cs.LG stat.ML 57%

Deep Reinforcement Learning

Yuxi Li

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

Comments Under review for Morgan & Claypool: Synthesis Lectures in Artificial Intelligence and Machine Learning

1810.01531 2018-10-09 cs.RO 57%

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

Mel Vecerik, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jon Scholz

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

1810.00468 2018-10-02 cs.LG stat.ML 57%

Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules

Michalis K. Titsias, Sotirios Nikoloutsopoulos

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

Comments 11 pages, 2 figures

1809.05872 2018-09-18 cs.LG stat.ML 57%

Inspiration Learning through Preferences

Nir Baram, Shie Mannor

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

1809.05819 2018-09-18 cs.RO 57%

Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator

Hai Nguyen, Hung Manh La, Matthew Deans

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

1807.10728 2018-09-18 cs.LG stat.ML 57%

Deep PDF: Probabilistic Surface Optimization and Density Estimation

Dmitry Kopitkov, Vadim Indelman

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

1809.03548 2018-09-17 cs.LG stat.ML 57%

VPE: Variational Policy Embedding for Transfer Reinforcement Learning

Isac Arnekvist, Danica Kragic, Johannes A. Stork

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

1803.01164 2018-09-13 cs.CV 57%

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C Van Esesn, Abdul A S. Awwal, Vijayan K. Asari

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

Comments 39 pages, 46 figures, 3 tables. arXiv admin note: text overlap with arXiv:1408.3264, arXiv:1411.4046

1809.00510 2018-09-11 cs.LG stat.ML 57%

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning

Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz, David Filliat

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

Comments Accepted to the Workshop on Continual Unsupervised Sensorimotor Learning (ICDL-EpiRob 2018)

1807.03931 2018-08-02 cs.LG stat.ML 57%

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis G. Banerjee

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

Comments 38 pages, 9 figures

1803.07551 2018-07-10 stat.ML cs.LG 57%

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

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

Comments 11 pages, 7 figures

1806.01830 2018-06-29 cs.LG stat.ML 57%

Relational Deep Reinforcement Learning

Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia

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

1806.05554 2018-06-15 cs.AI 57%

Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning

Frank G. Glavin, Michael G. Madden

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

Comments IEEE Transactions on Computational Intelligence and AI in Games (2015)

Journal ref Glavin, Frank G., and Michael G. Madden. "Adaptive shooting for bots in first person shooter games using reinforcement learning." IEEE Transactions on Computational Intelligence and AI in Games 7, no. 2: 180-192. (2015)

1805.06374 2018-05-22 cs.CV 57%

Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning

Wanjia Liu, Huaijin Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit Patel

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

1805.04969 2018-05-15 cs.CV 57%

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning

Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

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

Comments International Foundation for Autonomous Agents and Multiagent Systems, 2018

1803.02632 2018-05-14 cs.AI cs.CL 57%

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning

Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati

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

Comments 7pages, 6 figures

1. 模仿学习与强化学习 4116 篇

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

Generative predecessor models for sample-efficient imitation learning

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning

DOM-Q-NET: Grounded RL on Structured Language

Competitive Experience Replay

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Trajectory-based Learning for Ball-in-Maze Games

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning

Deep Reinforcement Learning: An Overview

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Expanding Motor Skills through Relay Neural Networks

Improvements on Hindsight Learning

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback

Deep Reinforcement Learning

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules

Inspiration Learning through Preferences

Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator

Deep PDF: Probabilistic Surface Optimization and Density Estimation

VPE: Variational Policy Embedding for Transfer Reinforcement Learning

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Relational Deep Reinforcement Learning

Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning

Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning