MEEE
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
Reproduce experiments in efficient reinforcement learning using a model-based approach.
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 anytimeCode to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
MEEE has 432 stars on GitHub. It has been forked 64 times. MEEE is written mainly in Python. It has been in active development since 2020. MEEE is available under the MIT license. Its main topics are exploration-exploitation, model-based-reinforcement-learning, reinforcement-learning.
What is MEEE?
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
Is MEEE open source?
MEEE is an open-source project. It is released under the MIT license.
Is MEEE free?
Yes. MEEE is free and open source — you can use, modify and self-host it.
What license does MEEE use?
MEEE is available under the MIT license.
What language is MEEE written in?
MEEE is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/yaoyao1995-meee.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.