neuro-symbolic-sudoku-solver VS Agar.io_Q-Learning_AI

Compare neuro-symbolic-sudoku-solver vs Agar.io_Q-Learning_AI and see what are their differences.

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neuro-symbolic-sudoku-solver Agar.io_Q-Learning_AI
1 1
66 2
- -
0.0 4.4
over 2 years ago over 2 years ago
Python Python
Apache License 2.0 -
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neuro-symbolic-sudoku-solver

Posts with mentions or reviews of neuro-symbolic-sudoku-solver. We have used some of these posts to build our list of alternatives and similar projects.

Agar.io_Q-Learning_AI

Posts with mentions or reviews of Agar.io_Q-Learning_AI. We have used some of these posts to build our list of alternatives and similar projects.
  • Agar.io q-learning artificial intelligence.
    1 project | /r/Agario | 22 Jan 2022
    Thanks for the comments! The assigment report is handed in now, and I probably wont work it any more. Here is a link to the GitHub page: https://github.com/Dolphus2/Agar.io_Q-Learning_AI. It fared fairly well on average, considering it couldn't split. Feel free to ask any questions about the code, if any of you want to edit it and improve the agent.

What are some alternatives?

When comparing neuro-symbolic-sudoku-solver and Agar.io_Q-Learning_AI you can also consider the following projects:

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

deep-RL-trading - playing idealized trading games with deep reinforcement learning

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

tibia-screenshot-organizer - Script to organize the tibia's screenshot folder.

sudoku - Can Neural Networks Crack Sudoku?

GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.

DragGAN - Unofficial implementation of the DragGAN paper

Sinister - Sinister is Windows/Linux Keylogger Generator which sends key-logs via email with other juicy target info

TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.