last changes

mathema/replay.py

@@ -1,3 +1,18 @@
+"""
+Replay utility for visualizing the best evolved CarRacing agent.
+
+This module loads the best-performing agent from a given population stored
+in Neo4j, reconstructs its policy from a genotype snapshot, and replays the
+agent in a human-rendered CarRacing environment using pygame.
+
+High-level workflow:
+1. Query Neo4j for the agent with the highest recorded fitness in a population.
+2. Load the agent’s genotype snapshot.
+3. Build an executable policy from the snapshot.
+4. Run the policy in the CarRacing environment, step by step.
+5. Render the environment in real time and automatically handle episode resets.
+"""
+
 import numpy as np
 import pygame