pyagents
Just our DRL playground. (by diegochine)
understanding-rl
By alramalho
pyagents | understanding-rl | |
---|---|---|
1 | 2 | |
3 | 15 | |
- | - | |
4.8 | 1.0 | |
11 months ago | over 1 year ago | |
Python | Python | |
- | 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.
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.
pyagents
Posts with mentions or reviews of pyagents.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
-
Understanding RL – repo sharing
One improvement (especially from an OOP perspective) could be to have two abstract classes for on-policy and off-policy algorithms, as in general they behave differently (at training time). That's an abstraction I implemented in my own RL playground, feel free to take a look if you're interested: https://github.com/diegochine/pyagents
understanding-rl
Posts with mentions or reviews of understanding-rl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
What are some alternatives?
When comparing pyagents and understanding-rl you can also consider the following projects:
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
trax - Trax — Deep Learning with Clear Code and Speed
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)