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.
A central location for my reinforcement learning experiments
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
Chef recipe to install Universe on an Ubuntu Vagrant box
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 suite of reinforcement learning experiments
A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
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