학술논문
Reinforcement Learning using Kalman Filters
Document Type
Conference
Author
Source
2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Cognitive Informatics & Cognitive Computing (ICCI*CC), 2019 IEEE 18th International Conference on. :136-143 Jul, 2019
Subject
Language
Abstract
In this investigation, we discuss a game of pursuit-evasion, or a hunter-prey problems using Q-learning framework. This has always been a popular research subject in the field of robotics where a hunter moves around in pursuit a prey. We involve Kalman filters to estimate the prey's status (location and velocity) and learn Q-values based on the estimated status. We evaluate our approach by convergence of Q-values and capturing steps.