机器人 / 具身智能 - arXivDaily 专题

2111.11156 2022-09-27 cs.RO 57%

Improved Reinforcement Learning Pushing Policies via Heuristic Rules

Marios Kiatos, Iason Sarantopoulos, Sotiris Malassiotis, Zoe Doulgeri

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

2209.11787 2022-09-27 cs.RO 57%

Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization

Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang

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

Comments 8 pages, 6 figures

2111.12600 2022-09-26 cs.LG 57%

Learning State Representations via Retracing in Reinforcement Learning

Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

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

2106.07854 2022-09-23 cs.AI 57%

Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning

Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo Xu

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

2209.07096 2022-09-16 cs.AI 57%

Multi-Objective Policy Gradients with Topological Constraints

Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel

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

2209.06622 2022-09-15 cs.RO 57%

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning

Jiafeng Ma, Guangda chen, Yingfeng Chen, Yujing Hu, Changjie Fan, Jianming Zhang

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

2208.13663 2022-08-30 cs.LG cs.CR stat.ML 57%

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti

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

Comments Accepted at International Joint Conferences on Artificial Intelligence (IJCAI) 2022

2108.08628 2022-08-30 eess.SP cs.LG 57%

A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles

Sagar Dasgupta, Tonmoy Ghosh, Mizanur Rahman

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

2111.00213 2022-08-23 cs.LG 57%

Adjacency constraint for efficient hierarchical reinforcement learning

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

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

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2022.3192418. arXiv admin note: substantial text overlap with arXiv:2006.11485

2208.03663 2022-08-09 cs.MA cs.LG 57%

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Kai Liu, Tianxian Zhang, Lingjiang Kong

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

Comments under review

2207.13813 2022-07-29 cs.LG 57%

Structural Similarity for Improved Transfer in Reinforcement Learning

C. Chace Ashcraft, Benjamin Stoler, Chigozie Ewulum, Susama Agarwala

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

2205.03130 2022-07-27 cs.LG 57%

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning

Bian Xihan, Oscar Mendez, Simon Hadfield

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

Comments Submitted to IROS 2022, under review

2012.11641 2022-07-19 cs.RO 57%

Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys

Maryam Kouzehgar, Malika Meghjani, Roland Bouffanais

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

Comments Accepted for Publication at IEEE/MTS OCEANS 2020

Journal ref in Proceedings of Global Oceans 2020: Singapore-US Gulf Coast (pp. 1-8). IEEE

2207.06269 2022-07-14 cs.LG 57%

Policy Optimization with Sparse Global Contrastive Explanations

Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez

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

Comments Accepted at IMLH Workshop, ICML 2022

2207.05850 2022-07-14 math.OC cs.LG cs.SY eess.SY 57%

Compactly Restrictable Metric Policy Optimization Problems

Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue

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

Comments 11 pages, 1 figure, submitted to Transactions on Automatic Control

2207.03257 2022-07-08 cs.CE cs.LG 57%

Vessel-following model for inland waterways based on deep reinforcement learning

Fabian Hart, Ostap Okhrin, Martin Treiber

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

2207.03214 2022-07-08 cs.AI 57%

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios

Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew

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

Comments 8 pages, 8 figures

2207.00636 2022-07-05 q-bio.NC cs.LG cs.NE 57%

Action-modulated midbrain dopamine activity arises from distributed control policies

Jack Lindsey, Ashok Litwin-Kumar

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

2207.00202 2022-07-04 cs.RO 57%

DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons

Kevin Tracy, Taylor A. Howell, Zachary Manchester

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

2202.04849 2022-07-04 cs.LG 57%

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition

Dylan Slack, Yinlam Chow, Bo Dai, Nevan Wichers

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

2108.12916 2022-06-28 cs.LG 57%

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning

Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

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

Comments Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning, 2021

1905.03231 2022-06-20 cs.LG stat.ML 57%

Smoothing Policies and Safe Policy Gradients

Matteo Papini, Matteo Pirotta, Marcello Restelli

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

2206.06090 2022-06-14 stat.ML cs.LG cs.NE 57%

Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control

Maximilian Hüttenrauch, Gerhard Neumann

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

Comments 26 pages, 15 figures

2202.01288 2022-06-14 cs.LG 57%

Imitation Learning by Estimating Expertise of Demonstrators

Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

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

Comments ICML 2022. 17 pages, 4 figures

2202.13252 2022-06-07 cs.AI 57%

The Quest for a Common Model of the Intelligent Decision Maker

Richard S. Sutton

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

Comments Will appear as an extended abstract at the fifth Multi-disciplinary Conference on Reinforcement Learning and Decision Making, held in Providence, Rhode Island, June 8-11, 2022

2205.15056 2022-05-31 q-fin.MF cs.LG q-fin.PM 57%

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

Huifang Huang, Ting Gao, Yi Gui, Jin Guo, Peng Zhang

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

2203.04735 2022-05-26 cs.GR cs.LG 57%

A Survey on Reinforcement Learning Methods in Character Animation

Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani

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

Comments 27 pages, 6 figures, Eurographics STAR, Computer Graphics Forum

2205.05061 2022-05-25 cs.LG 57%

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer

Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss

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

Comments Accepted at IEEE Conference on Games 2022, 8 pages, 6 figures, 3 tables

2205.08716 2022-05-19 cs.LG 57%

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL

Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White

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

2204.13060 2022-05-18 cs.LG 57%

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine

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

Comments ICML 2022. 20 Pages, 15 Figures, 4 Tables. Website at https://sites.google.com/view/gc-bisimulation

1. 模仿学习与强化学习 4116 篇

Improved Reinforcement Learning Pushing Policies via Heuristic Rules

Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization

Learning State Representations via Retracing in Reinforcement Learning

Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning

Multi-Objective Policy Gradients with Topological Constraints

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles

Adjacency constraint for efficient hierarchical reinforcement learning

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Structural Similarity for Improved Transfer in Reinforcement Learning

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning

Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys

Policy Optimization with Sparse Global Contrastive Explanations

Compactly Restrictable Metric Policy Optimization Problems

Vessel-following model for inland waterways based on deep reinforcement learning

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios

Action-modulated midbrain dopamine activity arises from distributed control policies

DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning

Smoothing Policies and Safe Policy Gradients

Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control

Imitation Learning by Estimating Expertise of Demonstrators

The Quest for a Common Model of the Intelligent Decision Maker

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

A Survey on Reinforcement Learning Methods in Character Animation

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning