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README.md

Mario Baseline: Random Agent Performance

This directory contains a random agent baseline for Super Mario Bros, providing a performance reference point for evaluating trained agents.

Overview

The baseline runs a completely random agent that selects actions uniformly at random from the available action set. This establishes the minimum performance level that any learning agent should exceed.

What It Does

  • Random Actions: Takes random actions from the complex action set (12 actions)
  • Performance Measurement: Tracks scores, stages reached, and survival time
  • Video Recording: Optional gameplay recording for qualitative analysis
  • Statistical Analysis: Collects performance statistics over many episodes