Reinforcement Learning and Minecraft - ML Con Spring 2018

Overview

Join us at ML Con Spring 2018 and venture into the realm of reinforcement learning with Minecraft's cutting-edge AI platform, Project Malmo. This unique session provides an opportunity for enthusiasts and practitioners to delve into problem-solving using advanced deep learning methodologies within an innovative experimental framework.

Hosted on YouTube, this engaging event is perfect for those eager to enhance their understanding of artificial intelligence and apply it within the captivating confines of Minecraft.

Don't miss this chance to explore AI in a creative and challenging environment.

Syllabus

• Introduction to Reinforcement Learning
Overview of Reinforcement Learning (RL)
Key Concepts: States, Actions, Rewards
Exploration vs. Exploitation
• Project Malmo and Minecraft as a Platform for AI
Introduction to Project Malmo
Setting Up the Environment
Understanding the Minecraft Game Environment
• Fundamentals of Deep Learning
Neural Networks Basics
Deep Q-Networks (DQN)
Policy Gradient Methods
• Implementing Reinforcement Learning in Project Malmo
Building and Training Agents
Experimentation with Different Strategies
Case Study: Solving a Task in Minecraft
• Advanced Techniques and Applications
Exploration Strategies in RL
Transfer Learning in RL
Multi-Agent Reinforcement Learning
• Evaluating and Improving RL Models
Performance Metrics for RL
Hyperparameter Tuning
Troubleshooting Common Problems
• Project and Practical Application
Define a Problem to Solve in Minecraft
Design and Implement a Solution
Presenting Results and Findings
• Future Directions in AI and Reinforcement Learning
Recent Advancements
Ethical Considerations in RL
Future Applications in Gaming and Beyond

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Subjects

Conference Talks