RocketLander
A simple framework equipped with optimization algorithms, such as reinforcement learning, evolution strategies, genetic optimization, and simulated annealing, to enable an orbital rocket booster to land autonomously. (by kaifishr)
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. (by SimonBlanke)
RocketLander | Gradient-Free-Optimizers | |
---|---|---|
1 | 11 | |
1 | 1,114 | |
- | - | |
1.7 | 5.0 | |
about 1 year ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
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.
RocketLander
Posts with mentions or reviews of RocketLander.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[P] Autonomous Landing of a Rocket Booster with Machine Learning
You can find the project here: https://github.com/kaifishr/RocketLander
Gradient-Free-Optimizers
Posts with mentions or reviews of Gradient-Free-Optimizers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-28.
- Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3
- Gradient-Free-Optimizers version 1.2 released
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I would be very disappointed if that were the case.. no, it looks like it’s set up to capture variance. The BO algo wraps an “Expected Improvement Optimizer”:
https://github.com/SimonBlanke/Gradient-Free-Optimizers/blob...
Which selects new points based on both the model’s mean estimate and its variance. See around line 58
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Hacker News top posts: Feb 28, 2021
Gradient-Free-Optimizers A collection of modern optimization methods in Python\ (0 comments)
- SimonBlanke/Gradient-Free-Optimizers A collection of modern optimization methods in Python
- Gradient-Free-Optimizers: A collection of modern optimization methods in Python
- Optimize any Python function with modern algorithms in numerical search spaces
What are some alternatives?
When comparing RocketLander and Gradient-Free-Optimizers you can also consider the following projects:
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.