Search Results for "complex"

TREK is a system designed to explore task execution, reasoning, or knowledge traversal in structured environments, likely focusing on guiding agents through complex multi-step processes. The project appears to emphasize traceability, allowing users to follow how decisions are made and how tasks progress through different stages. Its architecture suggests a focus on modular reasoning, where each step in a process is clearly defined and can be analyzed independently. This makes it particularly useful for debugging, experimentation, and understanding agent behavior in complex workflows. ...

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. ...

...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. DiWaWa is the webapplication interface for the system and should go hand-in-hand with DiWaCS.