Skip to content

Implementation of Reinforcement Learning Models in Tensorflow

License

Notifications You must be signed in to change notification settings

Xhark/tensorflow-reinforce

 
 

Repository files navigation

Tensorflow-Reinforce

A collection of Tensorflow implementations of reinforcement learning models. Models are evaluated in OpenAI Gym environments.

Models

Model Code References
Cross-Entropy Method run_cem_cartpole Cross-entropy method
Tabular Q Learning rl/tabular_q_learner Sutton and Barto, Chapter 8
Deep Q Network rl/neural_q_learner Mnih et al.
Double Deep Q Network rl/neural_q_learner van Hasselt et al.
REINFORCE Policy Gradient rl/pg_reinforce Sutton et al.
Actor-critic Policy Gradient rl/pg_actor_critic Minh et al.

About

Implementation of Reinforcement Learning Models in Tensorflow

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%