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Prescribed Safety Performance Imitation Learning From a Single Expert Dataset

IEEE transactions on pattern analysis and machine intelligence, 2023-10, Vol.45 (10), p.12236-12249

2023

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Restored Action Generative Adversarial Imitation Learning from observation for robot manipulator

ISA transactions, 2022-10, Vol.129, p.684-690

2022

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Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model

Advanced robotics, 2020-08, Vol.34 (16), p.1055-1067

2020

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BAGAIL: Multi-modal imitation learning from imbalanced demonstrations

Neural networks, 2024-06, Vol.174, p.106251-106251, Article 106251

2024

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A Mixed Generative Adversarial Imitation Learning Based Vehicle Path Planning Algorithm

IEEE access, 2024, Vol.12, p.85859-85879

2024

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EC-SAGINs: Edge-Computing-Enhanced Space-Air-Ground-Integrated Networks for Internet of Vehicles

IEEE internet of things journal, 2022-04, Vol.9 (8), p.5742-5754

2022

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Automated Antenna Design via Domain Knowledge-Informed Reinforcement Learning and Imitation Learning

IEEE transactions on antennas and propagation, 2023-07, Vol.71 (7), p.1-1

2023

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On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.677-689

2023

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Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm

IET intelligent transport systems, 2020-07, Vol.14 (7), p.764-774

2020

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Interpretable Imitation Learning with Symbolic Rewards

ACM transactions on intelligent systems and technology, 2023-12, Vol.15 (1), p.1-34, Article 4

2023

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Domain Adaptation for Imitation Learning Using Generative Adversarial Network

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4718

2021

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Soft imitation reinforcement learning with value decomposition for portfolio management

Applied soft computing, 2024-01, Vol.151, p.111108, Article 111108

2024

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A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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A robot learning from demonstration framework to perform force-based manipulation tasks

Intelligent service robotics, 2013, Vol.6 (1), p.33-51

2013

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Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning

IEEE access, 2022, Vol.10, p.78148-78158

2022

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Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

Applied sciences, 2021-02, Vol.11 (3), p.975

2021

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Design of an Intelligent Vehicle Behavior Decision Algorithm Based on DGAIL

Applied sciences, 2023-05, Vol.13 (9), p.5648

2023

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Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter?

Image Analysis and Processing – ICIAP 2022, p.15-26

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建設業務の効率化を実現する先端技術

計測と制御, 2022/09/10, Vol.61(9), pp.667-670

松本, 慶太

2022

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Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

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Learning Object Relation Graph and Tentative Policy for Visual Navigation

Computer Vision - ECCV 2020, 2020, Vol.12352, p.19-34

2020

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Cooperation through imitation and exclusion in networks

Journal of economic dynamics & control, 2011-05, Vol.35 (5), p.641-658

2011

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Imitation Learning: A Survey of Learning Methods

ACM computing surveys, 2018-06, Vol.50 (2), p.1-35

2018

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Kernelized movement primitives

The International journal of robotics research, 2019-06, Vol.38 (7), p.833-852

2019

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Deep Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

2024

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Prescribed Safety Performance Imitation Learning From a Single Expert Dataset

Restored Action Generative Adversarial Imitation Learning from observation for robot manipulator

Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model

BAGAIL: Multi-modal imitation learning from imbalanced demonstrations

A Mixed Generative Adversarial Imitation Learning Based Vehicle Path Planning Algorithm

EC-SAGINs: Edge-Computing-Enhanced Space-Air-Ground-Integrated Networks for Internet of Vehicles

Automated Antenna Design via Domain Knowledge-Informed Reinforcement Learning and Imitation Learning

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration

Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm

Interpretable Imitation Learning with Symbolic Rewards

Domain Adaptation for Imitation Learning Using Generative Adversarial Network

Soft imitation reinforcement learning with value decomposition for portfolio management

A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets

A robot learning from demonstration framework to perform force-based manipulation tasks

Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning

Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

Design of an Intelligent Vehicle Behavior Decision Algorithm Based on DGAIL

Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter?

建設業務の効率化を実現する先端技術

Deep Reinforcement Learning for Autonomous Driving: A Survey

Learning Object Relation Graph and Tentative Policy for Visual Navigation

Cooperation through imitation and exclusion in networks

Imitation Learning: A Survey of Learning Methods

Kernelized movement primitives

Deep Reinforcement Learning: A Survey

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