Mobile Robot Navigation in Dynamic Environments by Offline Reinforcement Learning using Flow-Based Generative Model
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- MATSUMOTO Kohei
- Kyushu University
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- KURAZUME Ryo
- Kyushu University
Bibliographic Information
- Other Title
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- フローベース生成モデルを利用したオフライン強化学習による動的環境下での移動ロボットナビゲーション
Description
<p>We propose a novel navigation method applying an offline reinforcement learning method based on Implicit Policy Constraint to mobile robot navigation in environments with pedestrians. The proposed method utilizes a flow-based generative model for the behavior policy, and the latent policy is trained using a method based on Advantage-Weighted Regression. The proposed method is evaluated in a simulation environment.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2023 (0), 2A2-G01-, 2023
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390298919731532672
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed