Academic Project
AI Behavior Project
An experimental AI project focused on observing, modeling, and evaluating agent behavior under changing conditions. The work connects reinforcement learning ideas with measurable behavioral adaptation so model decisions can be compared more clearly.
Overview
An experimental AI project focused on observing, modeling, and evaluating agent behavior under changing conditions. The work connects reinforcement learning ideas with measurable behavioral adaptation so model decisions can be compared more clearly.
Problem
AI systems can appear capable without making their behavioral changes measurable, which makes comparison and debugging harder.
Technical Approach
I structured the project around controlled scenarios, behavior metrics, and repeated evaluation so changes in agent decisions could be inspected instead of only described.
Result
The project strengthens the portfolio's AI research side by showing interest in model behavior, evaluation, and agent adaptation.