机器人 / 具身智能 - arXivDaily 专题

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

2105.03489 2021-05-11 cs.RO 57%

Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance

S. Luo, G. Androwis, S. Adamovich, H. Su, X. Zhou

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

2104.06630 2021-04-20 cs.LG 57%

A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals

Connor van Rossum, Candice Feinberg, Adam Abu Shumays, Kyle Baxter, Benedek Bartha

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

Comments This work has been submitted to the IEEE for possible publication

2103.14407 2021-04-14 cs.LG 57%

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried

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

2007.13363 2021-04-14 cs.AI 57%

Learning Compositional Neural Programs for Continuous Control

Thomas Pierrot, Nicolas Perrin, Feryal Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

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

2104.02981 2021-04-13 cs.IR cs.LG 57%

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

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

Comments 9 pages, 4 figures, to be published in Proceedings of the AAAI Conference on Artificial Intelligence 2021

2104.02844 2021-04-08 eess.SY cs.AI cs.SY 57%

GEM: Group Enhanced Model for Learning Dynamical Control Systems

Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin

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

Comments 14 pages, 8 figures

2104.01655 2021-04-06 cs.LG 57%

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation

Emilio Parisotto, Ruslan Salakhutdinov

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

Comments Published at ICLR 2021

2104.01167 2021-04-05 cs.RO 57%

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez

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

2104.00241 2021-04-02 cs.LG 57%

Variational Inference MPC using Tsallis Divergence

Ziyi Wang, Oswin So, Jason Gibson, Bogdan Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

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

2103.15309 2021-03-30 cs.RO 57%

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid

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

Comments "Supplemental video: https://www.youtube.com/watch?v=j8KbW-a9dbw"

1912.05652 2021-03-26 cs.CY cs.LG stat.ML 57%

Learning Human Objectives by Evaluating Hypothetical Behavior

Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike

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

Comments Published at International Conference on Machine Learning (ICML) 2020

2011.04251 2021-03-25 cs.LG 57%

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships

Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura

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

Comments ICRA 2021

2009.01495 2021-03-23 cs.LG stat.ML 57%

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Ran Tian, Liting Sun, Masayoshi Tomizuka

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

Comments Accepted by 2021 AAAI Conference on Artificial Intelligence

Journal ref 2021 AAAI Conference on Artificial Intelligence

2005.08215 2021-03-19 cs.NI cs.RO 57%

Reinforcement Learning based Transmission Range Control in Software-Defined Wireless Sensor Networks with Moving Sensor

Anuradha Banerjee, Abu Sufian, Ali Safaa Sadiq, Seyedali Mirjalili

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

Comments 27 pages, 20 figures, This is an Under Review Pre-print copy

2103.00452 2021-03-15 cs.RO 57%

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Yanlong Huang

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

Comments 8 pages

2103.06398 2021-03-12 cs.LG 57%

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

Trevor A. McInroe, Michael Spurrier, Jennifer Sieber, Stephen Conneely

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

Comments 11 pages, 29 figures

2103.04910 2021-03-09 cs.LG cs.SY eess.SY 57%

A Crash Course on Reinforcement Learning

Farnaz Adib Yaghmaie, Lennart Ljung

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

Comments https://github.com/FarnazAdib/Crash_course_on_RL

1. 模仿学习与强化学习 4116 篇

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

Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance

A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

Learning Compositional Neural Programs for Continuous Control

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

GEM: Group Enhanced Model for Learning Dynamical Control Systems

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Variational Inference MPC using Tsallis Divergence

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Learning Human Objectives by Evaluating Hypothetical Behavior

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Reinforcement Learning based Transmission Range Control in Software-Defined Wireless Sensor Networks with Moving Sensor

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

A Crash Course on Reinforcement Learning