机器人 / 具身智能 - arXivDaily 专题

2107.06106 2021-10-28 cs.LG 57%

Conservative Offline Distributional Reinforcement Learning

Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani

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

Comments NeurIPS 2021

2106.08918 2021-10-26 cs.LG cs.NE cs.SY eess.SY 57%

Towards Automatic Actor-Critic Solutions to Continuous Control

Jake Grigsby, Jin Yong Yoo, Yanjun Qi

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

Comments NeurIPS Deep RL Workshop 2021

2010.16244 2021-10-26 cs.AI 57%

Interleaving Fast and Slow Decision Making

Aditya Gulati, Sarthak Soni, Shrisha Rao

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

Comments 7 pages, 11 figures; typos corrected, references added

2010.00163 2021-10-26 cs.LG stat.ML 57%

Bayesian Meta-reinforcement Learning for Traffic Signal Control

Yayi Zou, Zhiwei Qin

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

2110.07395 2021-10-15 cs.LG 57%

Offline Reinforcement Learning with Soft Behavior Regularization

Haoran Xu, Xianyuan Zhan, Jianxiong Li, Honglei Yin

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

1901.08562 2021-10-12 cs.LG stat.ML 57%

Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems

Osbert Bastani

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

2110.04649 2021-10-12 cs.AI 57%

Interactive Hierarchical Guidance using Language

Bharat Prakash, Nicholas Waytowich, Tim Oates, Tinoosh Mohsenin

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

Comments Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)

2110.01926 2021-10-06 cs.RO 57%

Improved Reinforcement Learning Coordinated Control of a Mobile Manipulator using Joint Clamping

Denis Hadjivelichkov, Kostas Vlachos, Dimitrios Kanoulas

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

Comments 6 pages, 6 figures, 3 tables

2109.13851 2021-09-29 cs.LG q-fin.CP 57%

Reinforcement Learning for Quantitative Trading

Shuo Sun, Rundong Wang, Bo An

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

2109.13377 2021-09-29 eess.SY cs.AI cs.FL cs.SY 57%

Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal 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)；分类 cs.AI

Comments Accepted for CDC 2021

2107.09650 2021-09-29 cs.RO 57%

Learning to Share Autonomy Across Repeated Interaction

Ananth Jonnavittula, Dylan P. Losey

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

Comments 8 pages, 10 figures

2109.10719 2021-09-28 cs.RO cs.SY eess.SY 57%

Autonomous Blimp Control using Deep Reinforcement Learning

Yu Tang Liu, Eric Price, Pascal Goldschmid, Michael J. Black, Aamir Ahmad

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

2109.10460 2021-09-23 cs.RO 57%

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

K. Niranjan Kumar, Irfan Essa, Sehoon Ha

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

2109.08231 2021-09-20 cs.LG 57%

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning

Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy

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

2004.12919 2021-09-17 cs.AI 57%

First return, then explore

Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune

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

Comments 47 pages, 14 figures, 4 tables; reorganized sections and modified SI text extensively; added reference to the published version, changed title to published title; added reference to published unformatted pdf

Journal ref Nature 590, 580-586 (2021)

2107.03186 2021-09-15 cs.RO stat.ML 57%

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning

Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier

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

2108.05872 2021-08-13 cs.AI 57%

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning

Willie McClinton, Andrew Levy, George Konidaris

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

2106.13861 2021-08-05 cs.DB cs.LG 57%

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Junwen Yang, Yeye He, Surajit Chaudhuri

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

Comments This is a full version of a conference paper to appear at VLDB 2021

2108.01593 2021-08-04 cs.HC cs.RO 57%

SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning

Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Aleksey Fedoseev, Dzmitry Tsetserukou

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

Comments Accepted to the 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2021. IEEE copyright. arXiv admin note: substantial text overlap with arXiv:2108.00488

2108.00625 2021-08-03 cs.LG 57%

Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

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

Comments 7 pages, Accepted in IROS 2021, See video pitch with main result on https://youtu.be/FfW_moT1-wU

2107.04989 2021-07-13 cs.RO cs.SY eess.SY 57%

Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics

Ya-Chien Chang, Sicun Gao

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

Comments ICRA 2021

2107.03600 2021-07-09 cs.RO cs.SY eess.SY 57%

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles

Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu

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

2103.06326 2021-07-06 cs.LG 57%

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

Samarth Sinha, Ajay Mandlekar, Animesh Garg

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

2106.14338 2021-06-29 cs.LG stat.ML 57%

Regret Analysis in Deterministic Reinforcement Learning

Damianos Tranos, Alexandre Proutiere

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

2103.13798 2021-06-25 cs.LG 57%

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents

Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén

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

2106.06431 2021-06-14 cs.LG 57%

Offline Reinforcement Learning as Anti-Exploration

Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist

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

2106.05402 2021-06-11 cs.LG 57%

Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective

Paul Chelarescu

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

2103.01948 2021-06-03 cs.LG 57%

Offline Reinforcement Learning with Pseudometric Learning

Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist

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

Comments ICML 2021

2101.06005 2021-06-01 cs.RO 57%

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning

Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan

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

Comments ICRA 2021, Code Available at: https://github.com/jyf588/SimGAN ; Accompanying Video: https://youtu.be/McKOGllO7nc

2105.04986 2021-05-12 cs.SE cs.RO 57%

A Meta Reinforcement Learning-based Approach for Self-Adaptive System

Mingyue Zhang, Jialong Li, Haiyan Zhao, Kenji Tei, Shinichi Honiden, Zhi Jin

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

Comments 11 pages, 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021

1. 模仿学习与强化学习 4134 篇

Conservative Offline Distributional Reinforcement Learning

Towards Automatic Actor-Critic Solutions to Continuous Control

Interleaving Fast and Slow Decision Making

Bayesian Meta-reinforcement Learning for Traffic Signal Control

Offline Reinforcement Learning with Soft Behavior Regularization

Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems

Interactive Hierarchical Guidance using Language

Improved Reinforcement Learning Coordinated Control of a Mobile Manipulator using Joint Clamping

Reinforcement Learning for Quantitative Trading

Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications

Learning to Share Autonomy Across Repeated Interaction

Autonomous Blimp Control using Deep Reinforcement Learning

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning

First return, then explore

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning

Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning

Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

Regret Analysis in Deterministic Reinforcement Learning

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents

Offline Reinforcement Learning as Anti-Exploration

Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective

Offline Reinforcement Learning with Pseudometric Learning

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning

A Meta Reinforcement Learning-based Approach for Self-Adaptive System