世界模型 - arXivDaily 专题

2110.02414 2023-08-10 cs.LG cs.RO 56%

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

Robert McCarthy, Qiang Wang, Stephen J. Redmond

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

2209.12068 2023-07-18 cs.CV cs.RO 56%

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

专题命中具身与机器人：environment model(abstract)；分类 cs.CV、cs.RO

Journal ref IEEE Robotics and Automation Letters ( Volume: 8, Issue: 8, August 2023)

2210.04839 2023-06-28 cs.RO cs.AI 56%

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

专题命中具身与机器人：model-based RL(abstract)；分类 cs.AI、cs.RO

2306.08748 2023-06-16 cs.RO cs.AI cs.CV cs.LG 56%

Multi-Object Manipulation via Object-Centric Neural Scattering Functions

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

专题命中具身与机器人：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Comments First two authors contributed equally. Accepted at CVPR 2023. Project page: https://s-tian.github.io/projects/actionosf/

2305.12240 2023-05-30 cs.RO cs.AI 56%

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics

Taekyung Kim, Jungwi Mun, Junwon Seo, Beomsu Kim, Seongil Hong

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.AI、cs.RO

Comments 2023 Robotics: Science and Systems (RSS). Project page: https://taekyung.me/rss2023-bridging

2305.17250 2023-05-30 cs.LG cs.AI 56%

Self-Supervised Reinforcement Learning that Transfers using Random Features

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

专题命中具身与机器人：model-based RL(abstract)；分类 cs.AI、cs.LG

2301.13183 2023-01-31 cs.RO cs.LG 56%

Learning Control from Raw Position Measurements

Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Accepted at the 2023 American Control Conference (ACC)

2210.12806 2022-10-25 cs.RO cs.LG 56%

Active Exploration for Robotic Manipulation

Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Published without appendix at "International Conference on Intelligent Robots and Systems (IROS)" 2022

2210.00121 2022-10-04 cs.RO cs.LG 56%

Visuo-Tactile Transformers for Manipulation

Yizhou Chen, Andrea Sipos, Mark Van der Merwe, Nima Fazeli

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Accepted to CoRL 2022

2206.10101 2022-09-01 cs.LG cs.AI 56%

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy

Eiji Uchibe

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments This is a preprint version of the paper to appear at IEEE Robotics and Automation Letters (RA-L). The final journal version is downloadable from https://doi.org/10.1109/LRA.2022.3196139

Journal ref IEEE Robotics and Automation Letters, Volume 7, Issue 4, pages 10922-10929, October, 2022

2010.13766 2022-02-14 cs.RO cs.LG 56%

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

Samuele Tosatto, Georgia Chalvatzaki, Jan Peters

专题命中具身与机器人：latent dynamics(abstract)；分类 cs.LG、cs.RO

2112.13937 2021-12-30 cs.AI cs.RO 56%

Multiagent Model-based Credit Assignment for Continuous Control

Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak, Michael Wooldridge

专题命中具身与机器人：model-based RL(abstract)；分类 cs.AI、cs.RO

Comments To Appear in AAMAS2022 (Oral)

2105.10049 2021-11-11 cs.RO cs.LG 56%

Learning Modular Robot Control Policies

Julian Whitman, Matthew Travers, Howie Choset

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

2110.08229 2021-10-18 cs.RO cs.AI cs.LG cs.MA 56%

Influencing Towards Stable Multi-Agent Interactions

Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh

专题命中具身与机器人：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments 15 pages, 5 figures, Published as an Oral at Conference on Robot Learning (CoRL) 2021

2109.12343 2021-09-28 cs.RO cs.LG cs.MA cs.SY eess.SY 56%

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems

Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar

专题命中具身与机器人：分类 cs.LG、cs.RO、cs.MA；predictive model(abstract)；predictive models(abstract)

2011.00524 2021-03-09 cs.RO cs.AI 56%

Towards Personalized Explanation of Robot Path Planning via User Feedback

Kayla Boggess, Shenghui Chen, Lu Feng

专题命中具身与机器人：environment model(abstract)；分类 cs.AI、cs.RO

Comments 7 pages, 5 figures

2102.10357 2021-02-23 cs.RO cs.LG 56%

How To Train Your HERON

Antoine Richard, Stephanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cedric Pradalier

专题命中具身与机器人：model-based RL(abstract)；分类 cs.LG、cs.RO

1909.04915 2020-09-29 cs.RO 56%

Data-efficient Model Learning and Prediction for Contact-rich Manipulation Tasks

Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.RO；dynamics model(abstract)

Comments Accepted at Robotics and Automation Letters

2008.01593 2020-08-05 cs.LG cs.RO stat.ML 56%

Learning Transition Models with Time-delayed Causal Relations

Junchi Liang, Abdeslam Boularias

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

2005.08114 2020-05-19 cs.CV cs.AI stat.ML 56%

Mutual Information Maximization for Robust Plannable Representations

Yiming Ding, Ignasi Clavera, Pieter Abbeel

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.AI、cs.CV

Comments Accepted at NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World

2001.02153 2020-05-07 cs.LG cs.RO stat.ML 56%

Information Theoretic Model Predictive Q-Learning

Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots

专题命中具身与机器人：model-based RL(abstract)；分类 cs.LG、cs.RO

Comments Extended version (15 pages) of paper accepted at the 2nd Learning for Dynamics and Control (L4DC) Conference, 2020

2001.08092 2020-01-23 cs.LG cs.RO cs.SY eess.SY stat.ML 56%

Local Policy Optimization for Trajectory-Centric Reinforcement Learning

Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Journal ref ICRA 2020

1903.09870 2019-08-30 cs.RO cs.CV 56%

Long Range Neural Navigation Policies for the Real World

Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee

专题命中具身与机器人：environment model(abstract)；分类 cs.CV、cs.RO

1908.05546 2019-08-16 cs.RO cs.LG 56%

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction

Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi

专题命中具身与机器人：environment model(abstract)；分类 cs.LG、cs.RO

Comments Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)

1906.03853 2019-06-13 cs.RO cs.AI cs.CV cs.LG 56%

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song

专题命中具身与机器人：分类 cs.AI、cs.LG、cs.CV；predictive model(abstract)

Comments RSS 2019. Project page: http://zhenjiaxu.com/DensePhysNet

1906.04161 2019-06-11 cs.LG cs.AI cs.CV cs.RO stat.ML 56%

Self-Supervised Exploration via Disagreement

Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta

专题命中具身与机器人：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Comments Accepted at ICML 2019. Website at https://pathak22.github.io/exploration-by-disagreement/

1902.04696 2019-02-14 cs.RO 56%

Using Approximate Models in Robot Learning

Ali Lenjani

专题命中具身与机器人：model-based reinforcement learning(abstract)；分类 cs.RO；dynamics model(abstract)

1810.03043 2018-10-09 cs.RO cs.AI cs.CV 56%

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning

Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn

专题命中具身与机器人：分类 cs.AI、cs.CV、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments accepted at the Conference on Robot Learning (CoRL) 2018

1810.01870 2018-10-05 cs.LG cs.AI cs.RO stat.ML 56%

Grounding Perception: A Developmental Approach to Sensorimotor Contingencies

Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie

专题命中具身与机器人：分类 cs.AI、cs.LG、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments 8 pages, 4 figures, workshop at IROS 2015 conference

1710.09483 2017-10-27 cs.RO cs.LG 56%

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone

专题命中具身与机器人：environment model(abstract)；分类 cs.LG、cs.RO

1. 具身与机器人 510 篇

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Multi-Object Manipulation via Object-Centric Neural Scattering Functions

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics

Self-Supervised Reinforcement Learning that Transfers using Random Features

Learning Control from Raw Position Measurements

Active Exploration for Robotic Manipulation

Visuo-Tactile Transformers for Manipulation

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

Multiagent Model-based Credit Assignment for Continuous Control

Learning Modular Robot Control Policies

Influencing Towards Stable Multi-Agent Interactions

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems

Towards Personalized Explanation of Robot Path Planning via User Feedback

How To Train Your HERON

Data-efficient Model Learning and Prediction for Contact-rich Manipulation Tasks

Learning Transition Models with Time-delayed Causal Relations

Mutual Information Maximization for Robust Plannable Representations

Information Theoretic Model Predictive Q-Learning

Local Policy Optimization for Trajectory-Centric Reinforcement Learning

Long Range Neural Navigation Policies for the Real World

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

Self-Supervised Exploration via Disagreement

Using Approximate Models in Robot Learning

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning

Grounding Perception: A Developmental Approach to Sensorimotor Contingencies

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction