Model-based Value Iteration Algorithm for Stochastic Cleaning Robot

버전 1.0.0.0 (4.91 KB) 작성자: Reza Ahmadzadeh
An Example for Reinforcement Learning and Dynamic Programming (Stochastic)
다운로드 수: 794
업데이트 날짜: 2014/2/27

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Model-based value iteration Algorithm for Stochastic Cleaning Robot. This code is a very simple implementation of a value iteration algorithm, which makes it a useful start point for beginners in the field of Reinforcement learning and dynamic programming.
The stochastic cleaning-robot MDP: a cleaning robot has to collect a used can also has to recharge its batteries. the state describes the position of the robot and the action describes the direction of motion. The robot can move to the left or to the right. The first (0) and the final (5) states are the terminal states. The goal is to find an optimal policy that maximizes the return from any initial state. Here the Q-iteration (model-based value iteration DP). Reference: Algorithm 2-2, from:
@book{busoniu2010reinforcement,
title={Reinforcement learning and dynamic programming using function approximators},
author={Busoniu, Lucian and Babuska, Robert and De Schutter, Bart and Ernst, Damien},
year={2010},
publisher={CRC Press}
}

인용 양식

Reza Ahmadzadeh (2024). Model-based Value Iteration Algorithm for Stochastic Cleaning Robot (https://www.mathworks.com/matlabcentral/fileexchange/45712-model-based-value-iteration-algorithm-for-stochastic-cleaning-robot), MATLAB Central File Exchange. 검색됨 .

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