Coursera_Reinforcement_Learning
Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute (by LucasBoTang)
rlai
This is a Python implementation of concepts and algorithms described in "Reinforcement Learning: An Introduction" (Sutton and Barto, 2018, 2nd edition). (by MatthewGerber)
| Coursera_Reinforcement_Learning | rlai | |
|---|---|---|
| 1 | 1 | |
| 197 | 7 | |
| - | - | |
| 10.0 | 8.9 | |
| over 4 years ago | 17 days ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
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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.
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.
Coursera_Reinforcement_Learning
Posts with mentions or reviews of Coursera_Reinforcement_Learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-20.
-
Python libraries for solving reinforcement learning problems implemented in OpenAI gym
I meant State Of The Art (SOTA) ;) Look here for a simple implementation of Expected Sarsa ( you can also find sarsa on github) https://github.com/LucasBoTang/Coursera_Reinforcement_Learning/blob/master/02Sample-based_Learning_Methods/02Q-Learning_and_Expected_Sarsa.ipynb
rlai
Posts with mentions or reviews of rlai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-20.
-
Python libraries for solving reinforcement learning problems implemented in OpenAI gym
I've worked through several OpenAI Gym environments with my RL library, which is based almost entirely on the RL textbook by Sutton and Barto (case studies here). No neural networks, nothing too fancy. But I do explore JAX for policy gradient methods / continuous control.
What are some alternatives?
When comparing Coursera_Reinforcement_Learning and rlai you can also consider the following projects:
d3rlpy - An offline deep reinforcement learning library
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.