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Starts 7 June 2025 22:28
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Reinforcement Learning and Minecraft - ML Con Spring 2018
Explore reinforcement learning through Minecraft's AI platform, Project Malmo. Learn to solve problems using deep learning techniques in a unique experimental environment.
MLCon | Machine Learning Conference
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MLCon | Machine Learning Conference
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41 minutes
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Overview
Explore reinforcement learning through Minecraft's AI platform, Project Malmo. Learn to solve problems using deep learning techniques in a unique experimental environment.
Syllabus
- Introduction to Reinforcement Learning
- Project Malmo and Minecraft as a Platform for AI
- Fundamentals of Deep Learning
- Implementing Reinforcement Learning in Project Malmo
- Advanced Techniques and Applications
- Evaluating and Improving RL Models
- Project and Practical Application
- Future Directions in AI and Reinforcement Learning
Overview of Reinforcement Learning (RL)
Key Concepts: States, Actions, Rewards
Exploration vs. Exploitation
Introduction to Project Malmo
Setting Up the Environment
Understanding the Minecraft Game Environment
Neural Networks Basics
Deep Q-Networks (DQN)
Policy Gradient Methods
Building and Training Agents
Experimentation with Different Strategies
Case Study: Solving a Task in Minecraft
Exploration Strategies in RL
Transfer Learning in RL
Multi-Agent Reinforcement Learning
Performance Metrics for RL
Hyperparameter Tuning
Troubleshooting Common Problems
Define a Problem to Solve in Minecraft
Design and Implement a Solution
Presenting Results and Findings
Recent Advancements
Ethical Considerations in RL
Future Applications in Gaming and Beyond
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