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A platform for rapid Reinforcement Learning methods development
Application allowing convenient experimentation in Reinforcement Learning - a Machine Learning domain. Project goals are:
- keep adding new environments and agents as simple as possible
- provide a rich set of state-of-art algorithms and problems
- integrate with other existing Reinforcement Learning platforms
If you found this application useful please cite this work: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6643987
C# HTN-Planner (CHP), a simple HTN-Planner written in C#. A domain-independent automated planning system based on ordered task decomposition, similar to SHOP2.
It includes a Microsoft Visual Studio project (CHP) and a Unity3D project (CUHP), both with some examples.
It is inspired by Dana Nau's Pyhop implementation and the book Automated Planning: Theory and Practice by Malik Ghallab et al.
EveAI processes the data assuming that it has already been read by a sensor.
Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.