Implementations of Reinforcement Learning and Planning algorithms
Run various Reinforcement Learning algorithms to train agents for decision-making tasks.
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 anytimeImplementations of Reinforcement Learning and Planning algorithms
rl-agents has 724 stars on GitHub. It has been forked 173 times. rl-agents is written mainly in Python. It has been in active development since 2017. rl-agents is available under the MIT license. Its main topics are agents, planning, reinforcement-learning.
Implementations of Reinforcement Learning and Planning algorithms
rl-agents is an open-source project. It is released under the MIT license.
Yes. rl-agents is free and open source — you can use, modify and self-host it.
rl-agents is available under the MIT license.
rl-agents is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/eleurent-rl-agents.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.