This repository contains DQN algorithm for pogema. Algorithm uses logger for training on previous experiments and two NNs: target net and policy net. Policy net is being training every training step and once in TARGET_UPDATE steps is being logged into target net for stable learning. File vis.py contains script for visualizing results into .svg file.
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Deep Q-Learning algorithm for Partially-Observable Grid Environment for Multiple Agents
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