Inspiration: Policy Wonk is inspired by the massive political changes and unrest happening around the world right now. We want to build a system that provides data to policymakers and advocates that can provide them with helpful data.

What it does: Using existing US Census and Research Data to explain the interaction between agent attributes and different state action pairs.

How I built it: In Python

Challenges I ran into: Building out the agent

Accomplishments that I'm proud of: Successfully gamifying the agent environment (using research data to quantify differences in agent interactions to states)

What I learned: More about public policy, and gamifying real world environments

What's next for Policy Wonk: Adding RL algorithms and multiple agents

Video and power point in discord

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