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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.
A turn-based strategy game in the spirit of Tactics Ogre
...The main inspirations are the Final Fantasy Tactics series and Tactics Ogre, with plenty of room for innovation.
Currently, we are implementing weapons, items, and spells into the battle framework, and soon to come will be the core RPG mechanics, AI, and self-contained missions.
The game is being coded in C++ using SDL.
A simple, yet powerful framework built around the OGRE rendering system. Has many features in the works such as AI, Audio, an entity system (much like CEL), and a complete level editor.
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.
FEAR is a development kit helping software engineers create advanced artificial intelligence in synthetic characters with simplicity and efficiency. The project includes reusable AI components, portable framework and interfaces to realtime 3D games.