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.

AcademicID is a comprehensive platform that leverages artificial intelligence to support the research community. It offers tools for data analytics, expert identification, and collaboration to streamline research processes. The platform empowers users by enhancing data accuracy and reducing administrative burdens, facilitating impactful and innovative research. AcademicID is designed to connect researchers with the right experts, improving efficiency and collaboration across academia.

The Science App allows users to analyze any claim with both supporting and opposing evidence derived from peer-reviewed scientific research. By using AI to search scientific papers, it links users directly to the sources, providing a balanced analysis of evidence strength and scientific consensus. The platform is designed to aid researchers in streamlining their literature review process while also offering the general public access to evidence-based information in an approachable format.