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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners.
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A C++ framework that implements generalised finite state machines.
The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt...
DUAPI (distributed unified agent programming interface) is a class library for creating and modelling the society of autonomous software agents. It also common to active objects and virtualization paradigm at all.
B.O.T.S (Bots Tactical Simulation) is a programming game, where players "code" the behaviour of their bot and watch them fight with others bots in a arena. It comes with a full environnement in Java/Swing, for coding, debugging, playing matchs, etc ...
Robot Controlling System (RCS) - is a .NET-oriented software group for controlling remote mechanical objects, debuging and programming them by .NET-languages