Showing 4 open source projects for "cd player linux"

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    ViZDoom

    ViZDoom

    Doom-based AI research platform for reinforcement learning

    ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community....
    Downloads: 0 This Week
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  • 2
    AI4U

    AI4U

    Multi-engine plugin to specify agents with reinforcement learning

    AI4U is a multi-engine plugin (Godot and Unity) that allows you to design Non-Player Characters (NPCs) of games using an agent abstraction. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learning community specifically and by the Artificial Intelligence community in general. Reinforcement learning promises to overcome traditional navigation mesh mechanisms in games and to provide more autonomous...
    Downloads: 0 This Week
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  • 3
    tic tac toe AI

    tic tac toe AI

    simplest AI programme of tic-tac-toe game

    This is a program of tic tac toe game it currently is the 1.0 version of this this is my program - an AI program which plays tic-tac-toe, it is an AI program which is given knowledge on the basis of my previous analysis and knowledge about playing tic-tac-toe. I have made it to be playable with players right now but I can make it for AI vs AI, AI vs player, player vs player as well. Using a settings option. I think this program has enough IQ to defeat a normal person. This is the update...
    Downloads: 0 This Week
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  • 4
    Google Research Football

    Google Research Football

    Check out the new game server

    Google Research Football is a reinforcement learning environment simulating soccer matches. It focuses on learning complex behaviors such as team collaboration and strategy formation in competitive settings.
    Downloads: 9 This Week
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