| MorvanZhou/Reinforcement-learning-with-tensorflow |
8,174 |
|
0 |
0 |
over 2 years ago |
0 |
|
63 |
mit |
Python |
| Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学 |
| datawhalechina/easy-rl |
7,643 |
|
0 |
0 |
about 2 years ago |
0 |
|
47 |
other |
Jupyter Notebook |
| 强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/ |
| sweetice/Deep-reinforcement-learning-with-pytorch |
2,741 |
|
0 |
0 |
about 3 years ago |
0 |
|
26 |
mit |
Python |
| PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... |
| seungeunrho/minimalRL |
2,417 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
mit |
Python |
| Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) |
| kengz/SLM-Lab |
1,052 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit |
Python |
| Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning". |
| ikostrikov/pytorch-a3c |
768 |
|
0 |
0 |
over 6 years ago |
0 |
|
17 |
mit |
Python |
| PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning". |
| lcswillems/rl-starter-files |
571 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
mit |
Python |
| RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code |
| louisnino/RLcode |
560 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
|
Python |
| pythonlessons/Reinforcement_Learning |
250 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
mit |
Python |
| Reinforcement learning tutorials |
| iffiX/machin |
206 |
|
0 |
0 |
over 4 years ago |
7 |
June 23, 2021 |
0 |
mit |
Python |
| Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... |
