A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Robotic simulation in Unity with ROS integration.

UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D

AI4U is a plugin that allows you use the Godot Game Engine to specify agents with reinforcement learning. Non-Player Characters (NPCs) of games can be designed using ready-made components.

Showcase environment for ML-Agents

Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)

Reinforcement Learning Agents in .NET

🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !

Applying ML-Agents to the Unity's Boat Attack env. ⛵️

🧩 Create your own puzzle, use my agents to solve it 🤖 try them out! 🧩

Reinforcement Learning Environments with ML-Agents.

Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the original game. It Communicates with a python script

The project aims to design and implement an AI-driven antagonist system for cRPG games in Unity 3D. The focus is on tailoring enemy behaviors and abilities to various factors: the surrounding environment, situational contexts, the player's skill level, and the enemy's combat experience with the player or other foes.

Using Unity ML Agents to create an environment, where agents are able to choose when to act

Rover Tower 3D Environment for Multi-Agent Reinforcement Learning

Learning how to climb up to the 3rd floor.

.NET wrapper for OpenAI Gym using LostTech.Gradient

deep learning / rl framework for unity.

A virtual reinforcement learning environment built in Unity / C# during my PhD

Learning how to escape from school as fast as possible.