Enable decision-making based on simulations

Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

PyTorch package for the discrete VAE used for DALL·E.

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 using deep reinforcement …

Train reinforcement learning agents using AnyLogic or Python-based simulations

A custom AnyLogic library for running Python inside an AnyLogic model (Java)

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.