Code for Cicero, an AI agent that plays the game of Diplomacy
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 focused on no-press diplomacy) as described in the README. ...
The Star Ships Learning Framework (SSLF) provides basic routines and methods in order to interact with the space shooter Star Ships V2.1. It provides the necessary interfaces for controlling the program's ships and its logic from outside the game.
This project is an integration of the ALIVE framework, based on Organisational theory, into commercial games, providing game AI developers with tools to model gaming scenarios using social structures.
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a simple c/s framework software to play Reversi game also known as Othelo, with a well developed AI client, one could develop his/her own client too. Please refer to https://github.com/aijunbai/reversi.git for possible updates.
AGISim is a framework for the creation of virtual worlds for artificial intelligence research, allowing AI and human controlled agents to interact in realtime within sensory-rich contexts. AGISim is built on the Crystal Space 3D game engine.
Educational gameframework 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.