GitHub

Unity ML-Agents Toolkit

Change: We will modify the reward for touching the ball and the existential reward/penalty to increase as the game progresses. This makes the agent more aggressive and strategic later in the episode.
IEEE

An Efficient and Zero-Knowledge Classical Machine Learning Inference Pipeline

Abstract: Machine Learning as a Service (MLaaS) offers powerful data analytics services to clients with limited resources. However, it still raises concerns about the integrity of delegated ...
GitHub

Unity ML-Agents Toolkit

This is a fork of the ML-Agents repository. The project extends the framework for studying the effects of sensory inputs and learning rates on soccer agents in a simulated environment. In the ...
Press Release Services

Southwark Cathedral joins The World Reimagined’s National Learning Programme and Exhibition: Triangle of Unity

LONDON, UK. January 9th 2026 – The World Reimagined is proud to announce the launch of the Triangle of Unity Learning Programme a pioneering national art and education initiative empowering young ...
IEEE

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...