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Simple-DQN

This is a modified implementation of this paper: Deep Auto-Encoder Neural Networks in Reinforcement Learning

paper

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rum_map.m

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This program will find the best path from start position(left) to the goal position(right). Instead of giving the information of 36 states(6 multify 6), we give the pixels of whole picture as a state. This is a 900(30 multify 30) pixels of picture which contains 25(5 multify 5) small white picture as a robot's position.

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