GitHub / MorvanZhou / Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Stars: 9,143
Forks: 5,029
Open issues: 69
License: mit
Language: Python
Size: 428 KB
Dependencies parsed at: Pending
Created at: almost 8 years ago
Updated at: 13 days ago
Pushed at: about 1 year ago
Last synced at: 12 days ago
Commit Stats
Commits: 105
Authors: 11
Mean commits per author: 9.55
Development Distribution Score: 0.333
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/MorvanZhou/Reinforcement-learning-with-tensorflow
Topics: a3c, actor-critic, asynchronous-advantage-actor-critic, ddpg, deep-deterministic-policy-gradient, deep-q-network, double-dqn, dqn, dueling-dqn, machine-learning, policy-gradient, ppo, prioritized-replay, proximal-policy-optimization, q-learning, reinforcement-learning, sarsa, sarsa-lambda, tensorflow-tutorials, tutorial