Deep Reinforcement Learning

Quick Start

TODO

Available algorithms

Algorithm	Repository	Example json	Documentation
Discrete DeepQ	deeprl	TODO	TODO
Asynchronous DeepQ (soon)	deeprl	TODO	TODO

Available Simulators

Algorithm	Repository	Example json	Documentation
Karpathy Game	SimulatorZoo	TODO	TODO

Requirements

• tensorflow == 0.7 for Automated Differentiation.
• SimulatorZoo for the models

Documentation

1. Quick start guide.
2. Writing your own simulator.
3. Adopting Existing Algorithm to different type of input.
4. Contributing to this repository.

Contributors

• stas-sl (found critical bug in Discrete Deepq)

Mentions

• NIPS
• https://twitter.com/pythontrending/status/665928320245198848
• http://www.slideshare.net/tw_dsconf/tensorflow-tutorial
• http://esbuzz.net/trends/watch/vid88Y773WD3kkh4