Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
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Updated
Dec 12, 2018 - Python
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork
A program to train an agent on a simple tile based environment using deep Q-networks (Neural Networks and Q-learning) and a program to train an agent to play the Breakout ATARI game.
A deep Q-network solution of the CartPole problem, prepared for the Collabor8.1 conference.
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