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Game Development
Kitchen Learning
Machine Learning project focused on creating AI agents for modern video games using Unity and reinforcement learning.
Overview
A Unity-based game environment where AI agents learn to perform kitchen tasks through reinforcement learning.
Technologies
UnityML-AgentsReinforcement LearningPPO AlgorithmC#Python
The Challenges
- Implementing PPO algorithm in Unity
- Designing effective reward systems
- Training AI agents for complex tasks
- Optimizing training performance
The Solutions
- Used Unity ML-Agents framework
- Designed progressive reward structures
- Implemented curriculum learning
- Optimized neural network architectures
Key Outcomes
- Successfully trained AI agents for kitchen tasks
- Improved understanding of reinforcement learning
- Enhanced Unity development skills
- Gained experience with ML-Agents framework