Ppo_lab Alternatives

PPO lab project. Android, Java
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Alternatives To CharnyshMM/PPO_lab
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
openai/baselines 14,949 37 2 over 2 years ago 6 February 26, 2018 497 mit Python
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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/
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.
udacity/deep-reinforcement-learning 4,635 0 0 over 2 years ago 0 5 mit Jupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
vwxyzjn/cleanrl 3,947 0 0 about 2 years ago 0 49 other Python
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
andri27-ts/Reinforcement-Learning 3,928 0 0 almost 6 years ago 0 2 mit Jupyter Notebook
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
simoninithomas/Deep_reinforcement_learning_Course 3,581 0 0 almost 3 years ago 0 46 Jupyter Notebook
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
ikostrikov/pytorch-a2c-ppo-acktr-gail 3,396 0 0 almost 4 years ago 0 82 mit Python
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
AI4Finance-Foundation/ElegantRL 3,229 0 2 over 2 years ago 5 January 08, 2022 107 other Python
Massively Parallel Deep Reinforcement Learning. 🔥
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