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Learning a Self-driving Bicycle Using Deep Deterministic Policy Gradient
Tuyen P. Le,Nguyen Dang Quang,SeungYoon Choi,TaeChoong Chung 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
This paper improves the method for learning a bicycle which can itself balance and go to any specified locations. The bicycle is controlled by a neural network policy which is learned by deep deterministic policy gradient algorithm (DDPG). We propose a procedure which allows the controller can be gradually learned until it can stably balance and lead the bicycle to any specified places.