mindspore-courses/Deep-Reinforcement-Learning-Algorithms-with-MindSpore
MindSpore implementations of deep reinforcement learning algorithms and environments
This project offers ready-to-use implementations of various deep reinforcement learning algorithms and environments. It allows researchers and practitioners to input specific problem scenarios or games and receive trained artificial intelligence agents capable of making optimal decisions within those environments. This is designed for AI researchers, machine learning engineers, and data scientists exploring and applying reinforcement learning.
No commits in the last 6 months.
Use this if you are a researcher or practitioner in AI and machine learning, and you need to quickly implement, test, and compare various deep reinforcement learning algorithms on different simulated environments.
Not ideal if you are looking for a high-level API for deploying reinforcement learning solutions to real-world production systems without needing to understand the underlying algorithms.
Stars
16
Forks
2
Language
Python
License
—
Category
Last pushed
Sep 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mindspore-courses/Deep-Reinforcement-Learning-Algorithms-with-MindSpore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning...
Denys88/rl_games
RL implementations
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild