How to install Unity ML Agents Release 20 in 2023

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#unity #mlagents #ArtificialIntelligence #MachineLearning #ReinforcementLearning #AI #NeuralNetworks #gamedev • In this video, I will show you how to install ML-Agents Release 20 for Unity 2022.3 or later, step by step, to train your first Machine Learning project using Unity and Reinforcement Learning. • Unity is a 3d game development engine providing high-precision physics simulation. The tutorial in this video shows a step-by-step description of how to install Unity's Artificial Intelligence (AI) framework. ML Agents allows you to develop a learning environment, including games, robots, wind farms ( • Multi-Agent Wind Turbine Farm Control... ), wildfire management systems ( • Collaborative Multi-Agent Wildfire Ma... ) and many more use cases with a high level of abstraction or close to reality. At the end of the video, we will train one of my personal Hello, World! examples, the Push Block example, where an agent learns to push a block into a specified area. The deep neural networks are used to train a whole school of agents using the state-of-the-art learning algorithm Proximal Policy Optimisation (PPO). Fortunately, Unity's ML-Agents framework provides us with a python communicator, utilising PyTorch for training. • Before you begin, please follow this guide to install: • 1. Anaconda and Visual Studio Code: • Anaconda and Visual Studio Code Setup • 2. Unity and Visual Studio Code Setup: • Visual Studio Code for Unity Setup Tu... • 00:00 - Intro • 00:22 - ML Agents • ML Agents: https://github.com/Unity-Technologies... • ML Agents - Getting-Started: https://github.com/Unity-Technologies... • ML Agents - Installation: https://github.com/Unity-Technologies... • 03:20 - Install Git • Git Download: https://git-scm.com/downloads • 04:30 - Clone ML Agents • git clone --branch release_20 https://github.com/Unity-Technologies... • 06:20 - Create Anaconda Env • conda create -n mlagents20 python=3.9 • conda activate mlagents20 • 07:10 - Install PyTorch • pip3 install torch -f https://download.pytorch.org/whl/torc... • 07:50 - Install Cuda 11.8 • nvcc --version • https://developer.nvidia.com/cuda-11-... • 09:45 - Install ML Agents • pip3 install -e ./ml-agents-envs • pip3 install -e ./ml-agents • mlagents-learn --help • 11:10 - Install Protobuf 3.20.3 • pip install protobuf==3.20.3 • 12:20 - Open Unity Project • 13:50 - Training PushBlock • mlagents-learn config/ppo/PushBlock.yaml --run-id= testing_pushblock • 15:00 - Install onnx • pip install onnx • 15:15 - Re-run Training • mlagents-learn config/ppo/PushBlock.yaml --run-id= testing_pushblock --force • 16:00 - Test Neural Network

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