A Proposal of Predictive Reinforcement Learning Realizing Moving Obstacle Avoidance
Author:
Affiliation:
1. Graduate School of Environment and Information Sciences, Yokohama National University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/129/6/129_6_1115/_pdf
Reference13 articles.
1. (1) R. S. Sutton and A. G. Barto: “Reinforcement Learning”, MIT press (1998)
2. (2) T. Minato and M. Asada: “Environmental Change Adaptation for Mobile Robot Navigation”, JRSJ, Vol. 18, No. 5, pp. 706-712(2000)(in Japanese)
3. (3) Y. Arai, T. Fujii, H. Asama, S. Suzuki, H. Kaetsu, and I. Endo: “Collision Avoidance in Multi-Robot Environment based on Local Communication”, JRSJ, Vol. 19, No. 1, pp. 45-58(2001)(in Japanese)
4. (4) M. Asada, S. Noda, S. Tawarada, and K. Hosoda: “Purposive Behavior Acquisition for a Robot by Vision-Based Reinforcement Learning”, JRSJ, Vol. 13, No. 1, pp. 68-74(1995)(in Japanese)
5. (5) T. Yamaguchi, M. Masubuchi, Y. Tanaka, and M. Yachida: “Propagating Learned Behaviors from a Virtual Agent to a Physical Robot in Exploitation-Oriented Reinforcement Learning”, ISAI, Vol. 12, No. 4, pp. 570-581(1997)(in Japanese)
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