世界模型 - arXivDaily 专题

2102.09754 2021-07-22 cs.RO cs.AI cs.CV 50%

VisuoSpatial Foresight for Physical Sequential Fabric Manipulation

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

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

Comments Journal extension of prior work on VSF to appear in Autonomous Robots S.I. 207. arXiv admin note: text overlap with arXiv:2003.09044

2011.11397 2021-07-07 cs.RO 50%

Imagination-enabled Robot Perception

Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz

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

Comments 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021). Preprint. Accepted June 2021

2102.09430 2021-06-22 cs.LG 50%

State Entropy Maximization with Random Encoders for Efficient Exploration

Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

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

Comments ICML 2021. First two authors contributed equally. Website: https://sites.google.com/view/re3-rl Code: https://github.com/younggyoseo/RE3

2008.06622 2021-01-19 cs.LG stat.ML 50%

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman

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

Comments 15 pages, 8 figures, ICML 2020. Website with code: https://sites.google.com/berkeley.edu/carl

Journal ref Proceedings of the 37th International Conference on Machine Learning, PMLR 119:11055-11065, 2020

2011.03922 2020-11-10 cs.RO 50%

Learning World Transition Model for Socially Aware Robot Navigation

Yuxiang Cui, Haodong Zhang, Yue Wang, Rong Xiong

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

1911.06283 2020-10-07 cs.RO cs.CV cs.LG 50%

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg

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

Comments v3: update acknowledgements

1912.10120 2020-05-19 cs.RO cs.CV cs.LG cs.SY eess.SY 50%

Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

Anjian Li, Somil Bansal, Georgios Giovanis, Varun Tolani, Claire Tomlin, Mo Chen

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

Comments Learning for Dynamics and Control (L4DC) 2020

2005.03813 2020-05-11 cs.RO cs.SE 50%

Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software

D. M. Lyons, S. Zahra

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

Comments IEEE Workshop on Assured IEEE Workshop on Assured Autonomous Systems, May, 2020

2005.00227 2020-05-04 cs.RO cs.LG 50%

Learning Compliance Adaptation in Contact-Rich Manipulation

Jianfeng Gao, You Zhou, Tamim Asfour

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

2004.13194 2020-04-29 cs.RO 50%

Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification

Nathan O. Lambert, Farhan Toddywala, Brian Liao, Eric Zhu, Lydia Lee, Kristofer S. J. Pister

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

Comments 6 pages; 2 pages appendices

1712.06489 2020-03-10 cs.RO 50%

Multi-Fidelity Reinforcement Learning with Gaussian Processes

Varun Suryan, Nahush Gondhalekar, Pratap Tokekar

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

1912.08116 2019-12-18 cs.RO cs.NE 50%

When Your Robot Breaks: Active Learning During Plant Failure

Mariah Schrum, Matthew Gombolay

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

1911.06833 2019-11-19 cs.LG cs.AI cs.RO stat.ML 50%

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient

Kevin Sebastian Luck, Mel Vecerik, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz

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

Comments Accepted for IROS 2019

1901.10251 2019-11-04 cs.LG stat.ML 50%

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

Orr Krupnik, Igor Mordatch, Aviv Tamar

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

1906.03710 2019-06-11 cs.LG cs.AI cs.RO stat.ML 50%

Curiosity-Driven Multi-Criteria Hindsight Experience Replay

John B. Lanier, Stephen McAleer, Pierre Baldi

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

Comments 14 pages

1905.04411 2019-05-14 cs.RO cs.CV cs.LG 50%

Learning Robotic Manipulation through Visual Planning and Acting

Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar

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

Comments RSS 2019. Website at https://sites.google.com/berkeley.edu/vpa/home

1809.09318 2019-01-08 cs.LG stat.ML 50%

Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals

Vikas Dhiman, Shurjo Banerjee, Jeffrey M. Siskind, Jason J. Corso

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

1809.11074 2018-11-26 cs.AI 50%

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen

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

1810.07167 2018-10-17 cs.RO cs.AI cs.LG 50%

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation

Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine

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

Comments Accepted to the Conference on Robot Learning (CoRL) 2018. Video at https://youtu.be/lOLT7zifEkg

1803.07551 2018-07-10 stat.ML cs.LG 50%

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

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

Comments 11 pages, 7 figures

1806.00109 2018-06-04 cs.RO cs.LG 50%

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions

Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan

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

Comments Robotics Science and Systems (RSS) 2018

1803.00196 2018-03-02 cs.RO cs.AI cs.LG stat.ML 50%

Learning Flexible and Reusable Locomotion Primitives for a Microrobot

Brian Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer Pister

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

Comments 8 pages. Accepted at RAL+ICRA2018

1706.08560 2017-06-28 cs.RO 50%

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity

Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus Piater

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

1703.02018 2017-03-07 cs.CV cs.LG cs.RO 50%

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine

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

Comments 8 pages, accepted to International Conference on Robotics and Automation (ICRA) 2017

1. 具身与机器人 504 篇

VisuoSpatial Foresight for Physical Sequential Fabric Manipulation

Imagination-enabled Robot Perception

State Entropy Maximization with Random Encoders for Efficient Exploration

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

Learning World Transition Model for Socially Aware Robot Navigation

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software

Learning Compliance Adaptation in Contact-Rich Manipulation

Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification

Multi-Fidelity Reinforcement Learning with Gaussian Processes

When Your Robot Breaks: Active Learning During Plant Failure

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

Curiosity-Driven Multi-Criteria Hindsight Experience Replay

Learning Robotic Manipulation through Visual Planning and Acting

Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals

Robot Representation and Reasoning with Knowledge from Reinforcement Learning

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions

Learning Flexible and Reusable Locomotion Primitives for a Microrobot

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation