Unity Machine Learning Agents
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Updated
Oct 24, 2017 - C#
Unity Machine Learning Agents
Small project for my multi agent class with ML-Agents in Unity3D
A real-time strategy game with independent units
This package aims to make development with ML-Agents quicker and easier.
C# classes written to create a 3d checkers game in Unity 3d
Some Unity assets I worked on
Official implementation of paper "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning" by M. Chancán (ICRA 2020) https://doi.org/10.1109/ICRA40945.2020.9197336
An opensource framework for organization simulation
🏛 Implementazione di diversi pattern comportamentali dei visitatori di un museo in Unity
Proyecto de entrenamiento de modelos de IA con aprendizaje por refuerzo (reinforcement learning) en Unity. Corresponde al trabajo práctico grupal de la materia INTELIGENCIA ARTIFICIAL (9525) de la Facultad de Ingeniería de la Universidad de Buenos Aires. Link a la demo (el comportamiento de los agentes puede verse afectado de forma negativa):
Akka.Hive provides an Aktor implementation of a discrete event simulation framework. The implementation is able to shift beween virtual time and normal time. Furthermore the approach can be overwritten to target any custom endpoint.
Alternative to Unity's NavMesh system where the agents avoid each other.
AI for games assignments for a university course.
Instantly locks your agent in Valorant.
A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.
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