PILCO
Bayesian Reinforcement Learning in Tensorflow (by nrontsis)
GPflow
Gaussian processes in TensorFlow (by GPflow)
PILCO | GPflow | |
---|---|---|
2 | 1 | |
310 | 1,801 | |
- | 0.6% | |
0.0 | 5.8 | |
about 3 years ago | 9 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PILCO
Posts with mentions or reviews of PILCO.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Simple model-based RL exercise for master students.
All the other parts of the course use python and the PILCO python implementation doesn't work as well as the MATLAB PILCO toolbox.
- JK obviously, RL is way more efficient than brute force.. or is it really? 👀
GPflow
Posts with mentions or reviews of GPflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-09.
What are some alternatives?
When comparing PILCO and GPflow you can also consider the following projects:
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈