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ml-agents
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Repo for the Deep Reinforcement Learning Nanodegree program
Obstacle Tower Environment
Reinforcement Learning Algorithms Based on PyTorch
Various examples of ml-agents while teaching concepts about it in YouTube
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
Showcase environment for ML-Agents
A Complete Open Source Agent AI Framework For Unity
Train reinforcement learning agent using ML-Agents with Google Colab.
Repository for slides & codes of RL Korea Bootcamp
Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)
A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
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
The Mayan Adventure is an open-source reinforcement learning environment for Unity ML-Agents. In this environment, you train your agent (Indie) to find the golden statue in this dangerous environment full of traps.
Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)
This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.
