Search Results for "study ai"
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Showing 6 open source projects for "study ai"
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...Initially forked from TORCS, it has now reached a clearly higher realism level in visual and physics simulation, thanks to its active development team and growing community. It mainly aims to implement exciting new features, cars, tracks and AI opponents to make a more enjoyable game for the player, while constantly pushing forward visual and physics realism. It is also intended for any research, study or teaching activity, around physics and AI, thanks to its GPL V2+ license, and the clear and modular architecture of its C/C++ code base.
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Retro
Retro Games in Gym
...It includes example configurations, datasets, and utilities for building retrieval-augmented generation systems. RETRO represents an important step toward combining large-scale language modeling with information retrieval, offering researchers a foundation to study hybrid approaches for scaling AI responsibly. -
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BWAPI
An API for interacting with Starcraft: Brood War (1.16.1)
Brood War Application Programming Interface or BWAPI is a free and open source C++ framework that is used to create Artificial Intelligence (AI) agents that play the popular Real Time Strategy (RTS) game Starcraft: Brood War. With BWAPI, players of varying levels can create AI agents to play Brood War, but with certain limits. BWAPI will only reveal visible parts of the game state to AI modules to enable programmers to write competitive non-cheating AIs. BWAPI also denies user input so... -
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
...To provide a platform for undergraduate computer scientists to build relatively complex AI. 3. To provide a set of agents that non-technical people can play around with and get a feel for how various AI techniques work. CoffeeMudForAI goals 1. To provide a platform to study the non-robotic aspects of AI(AI Planning, inter-agent planning, muti-agent planning, Machine learning, etc.) 2. To provide a game-like platform so people coming from the game AI world can contribute to AI research. -
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Elysia is an attempt to study the complex process behind decision making in neural systems. An evolved entity approach is used to converge on an 'intelligence' solution through genetic algorithms as well as adaptable models of distributed 'thinking'.
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A CECP (glChess-, xboard-, ...- compatible) chess engine specially conceived as a study application of Belief-Desire-Intention AI Architectures.
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