autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
Build and test intelligent agents that learn from their environment using reinforcement learning.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA PyTorch library for building deep reinforcement learning agents.
autonomous-learning-library has 655 stars on GitHub. It has been forked 72 times. autonomous-learning-library is written mainly in Python. It has been in active development since 2018. autonomous-learning-library is available under the MIT license. Its main topics are a2c, advantage-actor-critic, ddpg, deep-deterministic-policy-gradient.
What is autonomous-learning-library?
A PyTorch library for building deep reinforcement learning agents.
Is autonomous-learning-library open source?
autonomous-learning-library is an open-source project. It is released under the MIT license.
Is autonomous-learning-library free?
Yes. autonomous-learning-library is free and open source — you can use, modify and self-host it.
What license does autonomous-learning-library use?
autonomous-learning-library is available under the MIT license.
What language is autonomous-learning-library written in?
autonomous-learning-library is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/cpnota-autonomous-learning-library.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.