q-learning-algorithms
This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch. (by thomashirtz)
chess
Program for playing chess in the console against AI or human opponents (by bellerb)
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| q-learning-algorithms | chess | |
|---|---|---|
| 1 | 2 | |
| 3 | 12 | |
| - | - | |
| 0.0 | 7.6 | |
| about 1 year ago | 5 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).
chess
Posts with mentions or reviews of chess.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-02.
-
Multi-task learning: How's that done?
I use the first approach in a chess bot of mine, here's a link to the article: https://towardsdatascience.com/building-a-chess-engine-part2-db4784e843d5. The code for this can be found here: https://github.com/bellerb/chess/blob/main/ai_ben/train.py.
- Building a Chess AI
What are some alternatives?
When comparing q-learning-algorithms and chess 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
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
python-chess-annotator - Reads chess games in PGN format and adds annotations using an engine
neural_network_chess - Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.
muzero-general - MuZero