| thu-ml/tianshou |
7,125 |
|
0 |
10 |
about 2 years ago |
33 |
August 22, 2023 |
97 |
mit |
Python |
| An elegant PyTorch deep reinforcement learning library. |
| 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 .... |
| araffin/rl-baselines-zoo |
1,025 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included. |
| Khrylx/PyTorch-RL |
638 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
mit |
Python |
| PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO. |
| sudharsan13296/Hands-On-Reinforcement-Learning-With-Python |
596 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow |
| joschu/modular_rl |
523 |
|
0 |
0 |
almost 8 years ago |
0 |
|
10 |
mit |
Python |
| Implementation of TRPO and related algorithms |
| TianhongDai/reinforcement-learning-algorithms |
407 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
|
Python |
| This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress) |
| zhangchuheng123/Reinforcement-Implementation |
380 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| Implementation of benchmark RL algorithms |
| dongminlee94/deep_rl |
372 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Python |
| PyTorch implementations of deep reinforcement learning algorithms |
| Skylark0924/Machine-Learning-is-ALL-You-Need |
337 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| 🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need! |
