GitHub

Unity ML-Agents Toolkit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...
GitHub

Kafka-ML: connecting the data stream with ML/AI frameworks

Kafka-ML is a framework to manage the pipeline of Tensorflow/Keras and PyTorch (Ignite) machine learning (ML) models on Kubernetes. The pipeline allows the design, training, and inference of ML models ...
IEEE

NPC Behavior in Games Using Unity ML-Agents: A Reinforcement Learning Approach

Abstract: Machine learning is having a significant impact on video games, from speeding up the development of new games to the development of new methods in gaming. This study discusses the impact of ...
IEEE

TinyIREE: An ML Execution Environment for Embedded Systems From Compilation to Deployment

Abstract: Machine learning model deployment for training and execution has been an important topic for industry and academic research in the last decade. Much of the attention has been focused on ...