Jun 2025 – Jul 2025
AI Behavior Project
A reinforcement learning project where I developed and integrated AI behavior inside Minecraft, then observed multiple AI agents in a simulation environment to analyze interaction, adaptation, and decision-making patterns.
Overview
A reinforcement learning project where I developed and integrated AI behavior inside Minecraft, then observed multiple AI agents in a simulation environment to analyze interaction, adaptation, and decision-making patterns.
Problem
AI agents need to be evaluated in interactive environments where behavior, interaction, and decision-making can be observed instead of only measured through isolated metrics.
Technical Approach
I replicated and integrated reinforcement learning behavior into a Minecraft-based simulation, then compared how multiple AI agents interacted and made decisions.
Result
The project strengthens the portfolio's applied AI side by showing reinforcement learning experimentation inside an interactive game environment.