Learn Unity ML-Agents - Fundamentals of Unity Machine Learning [1 ed.] 1789138132, 9781789138139

Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, w

1,994 60 4MB

English Pages 204 Year 2018

Report DMCA / Copyright

DOWNLOAD EPUB FILE

Table of contents :
1: Introducing Machine Learning and ML-Agents
Machine Learning
ML-Agents
Running a sample
Creating an environment
Academy, Agent, and Brain
Summary

2: The Bandit and Reinforcement Learning
Reinforcement Learning
Contextual bandits and state
Exploration and exploitation
MDP and the Bellman equation
Q-Learning and connected agents
Exercises
Summary

3: Deep Reinforcement Learning with Python
Installing Python and tools
ML-Agents external brains
Neural network foundations
Deep Q-learning
Proximal policy optimization
Exercises
Summary

4: Going Deeper with Deep Learning
Agent training problems
Convolutional neural networks
Experience replay
Partial observability, memory, and recurrent networks
Asynchronous actor – critic training
Exercises
Summary

5: Playing the Game
Multi-agent environments
Adversarial self-play
Decisions and On-Demand Decision Making
Imitation learning
Curriculum Learning
Exercises
Summary

6: Terrarium Revisited – A Multi-Agent Ecosystem
What was/is Terrarium?
Building the Agent ecosystem
Basic Terrarium – Plants and Herbivores
Carnivore: the hunter
Next steps
Exercises
Summary

Learn Unity ML-Agents - Fundamentals of Unity Machine Learning [1 ed.]
 1789138132, 9781789138139

  • 0 0 0
  • Like this paper and download? You can publish your own PDF file online for free in a few minutes! Sign Up
Recommend Papers