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A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models.
SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.
The RTSCup is a programming environment for RTS games which can be used as a benchmark for evaluating several AI techniques. It is designed to make it easier and more intuitive for researchers to produce their applications over this plataform.
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"The Keepers" merges the best of the RTS and Empire game genres and adds many advanced features in a full-3D futuristic environment. The goal is to become the new Keeper, by conquering an entire planet, while managing diplomacy, economy and research.
This intends to be the combination of the best things on the best RTS games me and my pals have played overtime. The A.I. will also be special, very human.
ORTS is an RTS game engine. It is server/client-based and therefore suitable for on-line competitions. Games and the OpenGL GUI are scriptable. A sample game with many MD3 models is included. SVN access is provided through the home page.