q-learning-algorithms
This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch. (by thomashirtz)
fragile
Framework for building algorithms based on FractalAI (by FragileTech)
| q-learning-algorithms | fragile | |
|---|---|---|
| 1 | 1 | |
| 4 | 45 | |
| - | - | |
| 0.0 | 7.6 | |
| almost 3 years ago | 7 months 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.
q-learning-algorithms
Posts with mentions or reviews of q-learning-algorithms.
We have used some of these posts to build our list of alternatives
and similar projects.
-
actor-critic algorithms
I learn quite some things about reinforcement learning in the last months, and I feel like I understand much better deep-Q learning algorithms (if you want, you can check my [repo](https://github.com/thomashirtz/q-learning-algorithms). I would like to change a little bit my focus towards actor-critics algorithms now. The only thing is, I feel like in comparison to Q-learning algorithms, the explanations of the papers are not as precise as for Q-learning, and explanations on the internet diverge really greatly (e.g. the original paper does not give the A2C but only the A3C for one learner).
fragile
Posts with mentions or reviews of fragile.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] What left-field approaches to AI do you know of?
Found this tech (and their related white paper) last year and it seems really interesting. Using fundamental concepts from thermodynamics as the foundation for an optimization algo. https://github.com/FragileTech/fragile
What are some alternatives?
When comparing q-learning-algorithms and fragile you can also consider the following projects:
bomberland - Bomberland: a multi-agent AI competition based on Bomberman. This repository contains both starter / hello world kits + the engine source code
chess - Program for playing chess in the console against AI or human opponents
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.