simglucose
stable-baselines
simglucose | stable-baselines | |
---|---|---|
1 | 2 | |
221 | 277 | |
- | 0.7% | |
6.4 | 0.0 | |
about 2 months ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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simglucose
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How to design reward function to increase episode length?
I am trying to design a insulin infusion controller using diabetes-1 patient simulator simglucose. This simulator already includes a simulation environment.
stable-baselines
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Does DQN from stable baselines use Dueling DQN?
Hello, I was looking at the code at https://github.com/Stable-Baselines-Team/stable-baselines/blob/master/stable_baselines/deepq/dqn.py and can't find out where Dueling DQN is being used.
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What is a wrapper in RL?
There are many wrappers available, take a look at the stable baselines codebase for some examples.
What are some alternatives?
gym_solo - A custom open ai gym environment for solo experimentation.
SuperSuit - A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers
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]
dueling-dqn-Reinforcement-learning - Line plot extraction using Reinforcement learning (Dueling DQN) using Keras
opem - OPEM (Open Source PEM Fuel Cell Simulation Tool)
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
ReinforcementLearning
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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
Miniworld - Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes