mhahsler/Introduction_to_Reinforcement_Learning
Material for an introduction course to reinforcement learning for compute scientists
15
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
13 / 25
Adoption
1 / 25
Maturity
1 / 25
Community
0 / 25
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mhahsler/Introduction_to_Reinforcement_Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning...
86
Denys88/rl_games
RL implementations
80
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
76
flatland-association/flatland-rl
The Flatland Framework is a multi-purpose environment to tackle problems around resilient...
71
takuseno/d3rlpy
An offline deep reinforcement learning library
69