This repository implements emergent communication in multi-agent reinforcement learning using PyTorch. Users can configure sender and receiver neural networks to play referential games or cooperative navigation, encouraging agents to develop a discrete or continuous communication channel. It offers scripts for training, evaluation, and visualization of learned protocols, along with utilities for environment creation, message encoding, and decoding. Researchers can extend it with custom tasks, modify network architectures, and analyze protocol efficiency, fostering rapid experimentation in emergent agent communication.

PressMatch AI is designed to simplify and enhance the way PR professionals and journalists connect. The platform uses intelligent algorithms to match press releases and news stories with relevant journalists, ensuring that the right messages reach the right audience. By automating this process, PressMatch AI saves time, increases efficiency, and helps build better media relationships. It’s an essential tool for modern PR strategies, streamlining communications and boosting media coverage.