A toolkit for developing and comparing reinforcement learning algorithms.
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Updated
Sep 5, 2016 - Python
A toolkit for developing and comparing reinforcement learning algorithms.
My implementation of reinforcement-learning algorithms.
RL Agents for various OpenAI Gym environments
A Tensorflow implementation of a Actor Mimic RL agent to balance a Cartpole from OpenAI Gym
Playing around with Open AI's reinforcement learning frameworks
Shape sorting environment for openai's gym based on bulletphysics
A foraging environment for OpenAI Gym
Deep Q network implementation in Tensorflow
Playing around with OpenAI gym. Just experimenting, no serious competition intended.
Repository hosting my solutions to OpenAI's Gym environments
submission to TTI-Chicago programming requirement
A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
Reinforcement learning on OpenAI gym's cartpole environment
Deep Q-Networks in tensorflow
A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
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