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Popular-RL-Algorithms
Jupyter Notebook

Popular-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

by quantumiracle · GitHub
1.4k
Stars
149
Forks
Apache-2.0
License
2019
Created
1 yr ago
Last commit
reinforcement-learning
Category
Jupyter Notebook
Language
reinforcement-learningsoft-actor-criticstate-of-the-artApache-2.0Jupyter Notebook
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In plain words

Run and test various advanced AI learning algorithms in simulated environments.

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2026-07-202026-08-31
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📄 About

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Popular-RL-Algorithms has 1.4k stars on GitHub. It has been forked 149 times. Popular-RL-Algorithms is written mainly in Jupyter Notebook. It has been in active development since 2019. Popular-RL-Algorithms is available under the Apache-2.0 license. Its main topics are reinforcement-learning, soft-actor-critic, state-of-the-art.

❓ Frequently asked questions

What is Popular-RL-Algorithms?

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Is Popular-RL-Algorithms open source?

Popular-RL-Algorithms is an open-source project. It is released under the Apache-2.0 license.

Is Popular-RL-Algorithms free?

Yes. Popular-RL-Algorithms is free and open source — you can use, modify and self-host it.

What license does Popular-RL-Algorithms use?

Popular-RL-Algorithms is available under the Apache-2.0 license.

What language is Popular-RL-Algorithms written in?

Popular-RL-Algorithms is written mainly in Jupyter Notebook.

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