Showing 7 open source projects for "python based intelligent agents"

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  • 1
    PLEXIL (plan execution software)

    PLEXIL (plan execution software)

    Plan execution language and executive

    NOTE: Since 2022 this hosting of PLEXIL is deprecated. PLEXIL has moved to GitHub at https://github.com/plexil-group/plexil. Documentation is found at https://plexil-group.github.io/plexil_docs. Please use these new locations. PLEXIL is a plan execution language and technology developed by NASA and used in automation and autonomy applications at NASA and in the public sector. This software includes compilers for the language, the executive (runtime environment), and related tools....
    Downloads: 3 This Week
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  • 2
    RoboSchool

    RoboSchool

    Open source software for robot simulation, integrated with OpenAI Gym

    Roboschool is a set of open source robot simulation environments for reinforcement learning, created as an alternative to the Mujoco physics engine. It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning...
    Downloads: 0 This Week
    Last Update:
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  • 3
    The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
    Downloads: 0 This Week
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  • 4
    Jazzyk - a special-purpose programming language interpreter for development of modular intelligent agents based on a plug-in architecture.
    Downloads: 1 This Week
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  • 5
    This is a fork of the JollyNinja Bot for Robocode. The project intends to document JollyNinja's source code, make it work in teams and provide a solid API to base other Bots on, especially TeamRobot based bots.
    Downloads: 0 This Week
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  • 6
    General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
    Downloads: 0 This Week
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  • 7
    SB-MASE is aimed at students and researchers in AI, for simulation and control of agents and robots. It uses task based decomposition and the subsumption architecture as its core control mechanisms and includes numerous possibilities for adding plug-ins.
    Downloads: 0 This Week
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