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LatentMAS is an advanced framework for multi-agent reinforcement learning (MARL) that uses latent variable modeling to bridge perception and decision-making in environments where agents must coordinate under uncertainty. It provides mechanisms for agents to learn high-level latent representations of states, which simplifies complex sensory inputs into compact, actionable embeddings that facilitate both individual policy learning and inter-agent coordination. Using this latent space, the framework enables Multi-Agent Systems (MAS) to scale more effectively in environments with high dimensionality — such as robotics, simulated physics tasks, and strategic games — by reducing redundant learning burdens and focusing agent exploration. ...

...It offers simple solutions for example exporting urls and files to another PC via drag and drop and the files are stored in "Project Folder" and there can be database entry for it as well. Diwa also supports remote controlling another PC running the DiWaCS software and creating events which save screenshots from all the computers and optionally a image capture is taken of the room and a sound recording is saved (if you have the hardware). The project is still in alpha stage so the documentation is not yet complete, but the code is not overly complex so it should be possible to deploy the system without further assistance if required. ...