Search Results for "compact"

loro is a high-performance CRDT (Conflict-free Replicated Data Type) engine designed for building collaborative applications that sync in real time across multiple peers or devices. Written in Rust, loro is designed to be compact, fast, and embeddable in a wide range of environments, from desktop to mobile to web via WebAssembly. Its architecture supports multiple data types like text, maps, and lists, and it offers automatic conflict resolution with minimal data overhead. It is ideal for real-time editors, whiteboards, and distributed systems that require reliable, peer-to-peer synchronization.

...Yjs is network-agnostic and works with WebRTC, WebSocket, or any other transport layer, making it ideal for collaborative editors, whiteboards, and design tools. Its compact updates and powerful reconciliation system make it one of the most efficient and developer-friendly CRDT libraries available.

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. ...