A Reinforcement Learning Approach Involving a Shortest Path Finding.Reinforcement learning using chaotic exploration in maze world.Keras plays catch, a single file Reinforcement Learning example.Demystifying Deep Reinforcement Learning.Our Python 3 code uses Keras version 1.2.2 on top of Google's TensorFlow version 0.12.1. Which we have copied and adapted to maze solving. (also called deep Q-learning) by a simple application for solving classical mazes.īefore you start, it is advised that you skim through the following resources In this notebook we will try to explain the main ideas behind deep reinforcement learning Of using Q-learning with deep neural networks that was developed Google has also patented the mathematical aparatus Google's acquired AI Startup DeepMind For More than 500M$ Deep Reinforcement Learning for Maze Solving ¶ĭeep Reinforcement Learning got a lot of publicity recently due to
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