82 projects for "python q learning" with 2 filters applied:

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  • 1
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit...
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  • 2
    NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
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  • 3
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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  • 4
    "Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
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    Downloads: 113 This Week
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  • Model-Based Systems Engineering Software Icon
    Model-Based Systems Engineering Software

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  • 5
    The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos
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  • 6
    The Ottawa Python Authors Group is devoted to learning, using, and providing resources to the Python programming language.
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  • 7

    Think Python

    Think Python is an interactive online learning environment for Python.

    Think Python intends to be an interactive online learning environment for Python. It consists of two parts: A small IDE which is able to run your Python code in the browser without installing any plugins and an interactive training system which can contain explainations, questions and practical tasks.
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