Reinforcement Learning Environments with ML-Agents.
-
Updated
Sep 24, 2020 - C#
Reinforcement Learning Environments with ML-Agents.
A virtual reinforcement learning environment built in Unity / C# during my PhD
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.
Rover Tower 3D Environment for Multi-Agent Reinforcement Learning
deep learning / rl framework for unity.
Applying ML-Agents to the Unity's Boat Attack env. ⛵️
Learning how to escape from school as fast as possible.
Using Unity ML Agents to create an environment, where agents are able to choose when to act
🧩 Create your own puzzle, use my agents to solve it 🤖 try them out! 🧩
This repository contains a University project on the Reinforcement Learning subject, in which we develop a bot able to use some of Brandon Sanderson's Mistborn fantasy book's abilities in order to reach a goal in a 2D platform environment.
Learning how to climb up to the 3rd floor.
.NET wrapper for OpenAI Gym using LostTech.Gradient
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using 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
Reinforcement Learning Agents in .NET
Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)
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
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Add a description, image, and links to the reinforcement-learning-environments topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-environments topic, visit your repo's landing page and select "manage topics."