Search Results for "artificial intelligence mini games in python"

The project is the codebase for an AI agent named Cicero developed by Facebook Research. It is designed to play the board game Diplomacy by combining open-domain natural language negotiation with strategic planning. The repository includes training code, model checkpoints, and infrastructure for both language modelling (via the ParlAI framework) and reinforcement learning for strategy agents. It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant...

The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements...

Game Engine and AI framework for playing No Limit Holdem

2D robotic simulator in Python 2.x, tested in 2.6 and 2.7, under Win7(64) and Ubuntu 10.04 (Lucid). Needs the matching version of Pygame installed! (www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments.

This really isn't a game. It's all very randomly generated, and there is no way for any user input. I'll consider putting some in later. I had been wanting to make the Game of Life for some time as well as make some kind of genetic algorithm based code. So, here is what I came up with. While this may just seem like simplify a graphical display of what boredom looks like... well, it really doesn't go much past that point. If you Don't know what Conway's game of life is: It's the...

ReactiveAI is an attempt to create an artificial intelligence system that allows the involved entities to detect and respond to stimuli from other entities and the environment.

General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.

Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.