Deep-reinforcement-learning Libraries

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Deep-reinforcement-learning Libraries

Artificial intelligence for the Snake game.

We use two metrics to evaluate the performance of an AI: Test results (averaged over 1000 episodes): Run unit tests:

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMEN…

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

We provide here a suite of Python examples that walk you through concepts in: Classical & Deep Reinforcement Learning Basic & Advanced Machine Learning Anson Wong

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Reinforcement Learning (DRL) agents applied to medical images tensorpack-medical requires: New contributors of any experience level are very welcomed You can clone the latest version of the sour…

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Asynchronous Advantage Actor-Critic (A3C) The A3C algorithm was released by Google’s DeepMind group earlier this year, and it made a splash by essentially obsoleting DQN. It was faster, simpler, more…

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