This is the Windows app named LatentMAS whose latest release can be downloaded as LatentMASsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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LatentMAS
DESCRIPTION
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. LatentMAS also implements centralized training with decentralized execution, letting agents share learned representations during training while operating autonomously at inference time.
Features
- Latent representation learning for multi-agent systems
- Centralized training with decentralized execution architecture
- Benchmarking environments and evaluation tools
- Scalable coordination under uncertainty
- Policy optimization built for high-dimensional inputs
- Example implementations for robotics and simulated tasks
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/latentmas.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
