yukezhu/tensorflow-reinforce
Educational TensorFlow implementations of reinforcement learning algorithms including DQN, DDPG, REINFORCE, and Actor-Critic evaluated in OpenAI Gym environments.
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This repository contains TensorFlow implementations of fundamental reinforcement learning algorithms. The code covers Deep Q Networks (DQN), Double DQN, Deep Deterministic Policy Gradient (DDPG), REINFORCE, and Actor-Critic methods. Each algorithm is implemented following published papers and evaluated in OpenAI Gym environments. The project explicitly serves educational purposes to help learn deep RL concepts.
Frequently asked
- What is yukezhu/tensorflow-reinforce?
- Educational TensorFlow implementations of reinforcement learning algorithms including DQN, DDPG, REINFORCE, and Actor-Critic evaluated in OpenAI Gym environments.
- Is tensorflow-reinforce open source?
- Yes — yukezhu/tensorflow-reinforce is open source, released under the MIT license.
- What language is tensorflow-reinforce written in?
- yukezhu/tensorflow-reinforce is primarily written in Python.
- How popular is tensorflow-reinforce?
- yukezhu/tensorflow-reinforce has 487 stars on GitHub.
- Where can I find tensorflow-reinforce?
- yukezhu/tensorflow-reinforce is on GitHub at https://github.com/yukezhu/tensorflow-reinforce.