机器人 / 具身智能 - arXivDaily 专题

2210.09622 2022-10-19 cs.LG cs.AI cs.RO 67%

Deep Black-Box Reinforcement Learning with Movement Primitives

Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

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

Comments Accepted at CoRL 2022

2210.08003 2022-10-18 cs.AI cs.LG cs.RO 67%

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

W. Zai El Amri, L. Hermes, M. Schilling

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

Comments Conference paper (LOD 2022), 15 pages, 8 figures, 4 tables

2202.08266 2022-10-13 cs.LG cs.AI cs.RO 67%

Open-Ended Reinforcement Learning with Neural Reward Functions

Robert Meier, Asier Mujika

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

2209.09648 2022-09-21 cs.AI cs.LG cs.RO 67%

Safe Reinforcement Learning with Contrastive Risk Prediction

Hanping Zhang, Yuhong Guo

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

2209.03047 2022-09-08 cond-mat.soft 67%

Active particles using reinforcement learning to navigate in complex motility landscapes

Paul A. Monderkamp, Fabian Jan Schwarzendahl, Michael A. Klatt, Hartmut Löwen

专题命中模仿学习与强化学习：navigation(abstract)；robotic(abstract)

2203.04120 2022-08-03 cs.RO cs.AI cs.LG 67%

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery

Niklas Funk, Svenja Menzenbach, Georgia Chalvatzaki, Jan Peters

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

2207.13082 2022-07-27 cs.LG cs.AI cs.RO 67%

Offline Reinforcement Learning at Multiple Frequencies

Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman

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

Comments Project website: https://sites.google.com/stanford.edu/adaptive-nstep-returns/

2206.09498 2022-07-26 cs.LG cs.AI cs.RO 67%

Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning

Se-Wook Yoo, Seung-Woo Seo

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

Comments Accepted in ICRA 2022

2207.10295 2022-07-22 cs.LG cs.AI cs.RO 67%

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Adam Villaflor, Zhe Huang, Swapnil Pande, John Dolan, Jeff Schneider

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

2207.03483 2022-07-08 cs.CV cs.LG cs.RO cs.SD eess.AS 67%

Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh McDermott, Antonio Torralba

专题命中模仿学习与强化学习：embodied agent(abstract)；分类 cs.RO、cs.CV、cs.LG

Comments CVPR 2022. Project page: http://fallen-object.csail.mit.edu

2107.03974 2022-07-08 cs.LG cs.AI cs.RO 67%

Offline Meta-Reinforcement Learning with Online Self-Supervision

Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine

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

Comments 8.5 pages, 6 figures, accepted to ICML 2022

2207.01115 2022-07-05 cs.LG cs.AI cs.RO 67%

USHER: Unbiased Sampling for Hindsight Experience Replay

Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias

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

2207.00627 2022-07-05 cs.FL cs.CL 67%

Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic

Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh

专题命中模仿学习与强化学习：robotics(abstract)；robotic(abstract)

2107.08829 2022-06-29 cs.LG cs.AI cs.RO 67%

Visual Adversarial Imitation Learning using Variational Models

Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn

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

2201.11927 2022-06-20 cs.LG cs.AI cs.RO 67%

Constrained Variational Policy Optimization for Safe Reinforcement Learning

Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao

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

Comments ICML 2022. 25 pages

2206.04873 2022-06-13 cs.LG cs.AI cs.RO 67%

Imitation Learning via Differentiable Physics

Siwei Chen, Xiao Ma, Zhongwen Xu

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

2206.01812 2022-06-07 cs.LG cs.AI cs.RO 67%

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

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

2206.01634 2022-06-06 cs.LG cs.CV cs.RO 67%

Reinforcement Learning with Neural Radiance Fields

Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint

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

2205.15379 2022-06-01 cs.AI cs.LG cs.RO cs.SY eess.SY 67%

Truly Deterministic Policy Optimization

Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Matthew West

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

2008.07284 2022-06-01 cs.LG cs.AI cs.RO 67%

Forward and inverse reinforcement learning sharing network weights and hyperparameters

Eiji Uchibe, Kenji Doya

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

Comments Accepted for publication in the Neural Networks

Journal ref Neural Networks, December 2021, Pages 138-153

2205.08034 2022-05-18 cs.LG cs.AI cs.RO 67%

DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo

Woong Gyu La, Lingjie Kong, Sunil Muralidhara, Pratik Nichat

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

2205.05212 2022-05-12 cs.LG cs.AI cs.RO 67%

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning

Archit Sharma, Rehaan Ahmad, Chelsea Finn

专题命中模仿学习与强化学习：embodied agent(abstract)；分类 cs.RO、cs.AI、cs.LG

2204.12458 2022-04-27 cs.LG cs.AI cs.RO 67%

Learning Value Functions from Undirected State-only Experience

Matthew Chang, Arjun Gupta, Saurabh Gupta

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

Comments ICLR 2022. Project website at https://matthewchang.github.io/latent_action_qlearning_site

2203.12774 2022-04-21 cs.LG cs.AI cs.RO 67%

Efficient Exploration via First-Person Behavior Cloning Assisted Rapidly-Exploring Random Trees

Max Zuo, Logan Schick, Matthew Gombolay, Nakul Gopalan

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

Comments Published in HRI 2022 Workshop - MLHRC. This is a replacement to include broader citations from works in the field

2204.03514 2022-04-11 cs.AI cs.CV cs.RO 67%

Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale

Ram Ramrakhya, Eric Undersander, Dhruv Batra, Abhishek Das

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

Comments 8 pages + supplement; fixed typos

2203.15390 2022-03-30 cs.RO cs.AI cs.LG cs.SY eess.SY 67%

ReIL: A Framework for Reinforced Intervention-based Imitation Learning

Rom Parnichkun, Matthew N. Dailey, Atsushi Yamashita

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

2203.14912 2022-03-29 cs.RO cs.AI cs.LG 67%

Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Eric Vollenweider, Marko Bjelonic, Victor Klemm, Nikita Rudin, Joonho Lee, Marco Hutter

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

2110.13423 2022-02-09 cs.RO cs.AI cs.LG 67%

Towards More Generalizable One-shot Visual Imitation Learning

Zhao Mandi, Fangchen Liu, Kimin Lee, Pieter Abbeel

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

2201.11994 2022-02-01 cs.RO cs.AI cs.LG cs.MA 67%

FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems

Yutong Wang, Guillaume Sartoretti

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

Comments To appear in the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)

2201.09746 2022-01-25 cs.LG cs.AI cs.NE cs.RO 67%

Reinforcement Learning Textbook

Sergey Ivanov

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

Comments The text is in Russian

1. 模仿学习与强化学习 4124 篇

Deep Black-Box Reinforcement Learning with Movement Primitives

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

Open-Ended Reinforcement Learning with Neural Reward Functions

Safe Reinforcement Learning with Contrastive Risk Prediction

Active particles using reinforcement learning to navigate in complex motility landscapes

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery

Offline Reinforcement Learning at Multiple Frequencies

Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Offline Meta-Reinforcement Learning with Online Self-Supervision

USHER: Unbiased Sampling for Hindsight Experience Replay

Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic

Visual Adversarial Imitation Learning using Variational Models

Constrained Variational Policy Optimization for Safe Reinforcement Learning

Imitation Learning via Differentiable Physics

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

Reinforcement Learning with Neural Radiance Fields

Truly Deterministic Policy Optimization

Forward and inverse reinforcement learning sharing network weights and hyperparameters

DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning

Learning Value Functions from Undirected State-only Experience

Efficient Exploration via First-Person Behavior Cloning Assisted Rapidly-Exploring Random Trees

Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale

ReIL: A Framework for Reinforced Intervention-based Imitation Learning

Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Towards More Generalizable One-shot Visual Imitation Learning

FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems

Reinforcement Learning Textbook