Multiple Reinforcement learning techniques on 3x3 TicTacToe

强化学习-游戏AI Trainning

An ML implementation of the popular game "World Hardest Game" in Unity3D with ML-Agents.

Tank game to experiment with the Unity ML-Agents Toolkit

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

PPO.NETv2 is an implementation of Proximal Policy Optimization (PPO) using TensorFlow with comments in Portuguese. The environment used is CartPole-v0 from OpenAI Gym.

A comparison between Reinforcement and Imitation Learning techniques for Multi-Agent 3D Racing using sensor-based approaches.

My master's degree project, titled Quadcopter Control with Deep Reinforcement Learning and PID Controllers in Simulated Environments

Concept and development of a walking AT-ST Walker (Starwars) ML-agent.

Rocket landing AI using reinforcement learning [keyword][Reinforcement Learning, ppo algorithm, ML-Agent]

Deep Reinforcement Learning techniques (PPO) applied to Swarm Robotics, focusing on defining stimulating environments and communication patterns in Search and Rescue scenario

A simple demo showing asteroids with ML-Agents

Unity Environments based on ML-agents for the Walker agent to perform various locomotion behaviors using reinforcement learning

An implementation of the Proximal Policy Optimization (PPO) algorithm. This implementation is based on the example available on the official Keras website. The goal of this project is to provide a .NET-based solution for running PPO algorithms.

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):

A car agent that has been trained using reinforcement learning to complete successful laps on a scaled-down version of the Circuit de Barcelona-Catalunya.

Simulation of car parking in different parking lots using Unity ML-Agents

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Final task for my Reinforcement Learning class in Deusto. The research paper discuss examples of using ML-Agents toolkit of Unity. Paper is avaible at:

Car game made with unity