pbo
RocketLander
pbo | RocketLander | |
---|---|---|
1 | 1 | |
14 | 1 | |
- | - | |
3.0 | 1.7 | |
7 months ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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pbo
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Why we use diagonal gaussian rather than multivariate guassian (with full covariance matrix)
I have implemented full covariance matrix output from neural networks in a drl-related project, in which I devised an optimization technique out of mixing a PG approach with CMA-ES concepts, and you can find a possible implementation of how to do so here: https://github.com/jviquerat/pbo In this specific context, full covariance matrix gave a very significant performance boost. Yet I don't want to draw premature conclusions on whether this will end up the same when plugged into PPO.
RocketLander
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[P] Autonomous Landing of a Rocket Booster with Machine Learning
You can find the project here: https://github.com/kaifishr/RocketLander
What are some alternatives?
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
SpaceDrones - A simple learning environment with space drones for evolution-inspired optimization.
Pendulum - Inverted Pendulum in python with pybox2d. Fuzzy and PID simulation included.
PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).