stable-baselines VS simglucose

Compare stable-baselines vs simglucose and see what are their differences.

stable-baselines

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms (by Stable-Baselines-Team)
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stable-baselines simglucose
2 1
277 221
0.7% -
0.0 6.4
about 1 year ago 2 months 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.

stable-baselines

Posts with mentions or reviews of stable-baselines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-28.

simglucose

Posts with mentions or reviews of simglucose. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stable-baselines and simglucose you can also consider the following projects:

SuperSuit - A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

gym_solo - A custom open ai gym environment for solo experimentation.

dueling-dqn-Reinforcement-learning - Line plot extraction using Reinforcement learning (Dueling DQN) using Keras

habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]

rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

opem - OPEM (Open Source PEM Fuel Cell Simulation Tool)

ReinforcementLearning

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning

deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Miniworld - Simple and easily configurable 3D FPS-game-like environments for reinforcement learning