ml-agents topic
obstacle-tower-env
Obstacle Tower Environment
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
RLs
Reinforcement Learning Algorithms Based on PyTorch
DQN-using-PyTorch-and-ML-Agents
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
UnityMLEssentials
Various examples of ml-agents while teaching concepts about it in YouTube
ML-Agents-with-Google-Colab
Train reinforcement learning agent using ML-Agents with Google Colab.
TotalAI
A Complete Open Source Agent AI Framework For Unity
Self-Play-TicTacToe-AI-ML-Agents-
A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.
citylearn
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
Multi-Agent-DDPG-using-PTtorch-and-ML-Agents
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.