Grid
Start
Goal
Obstacle
Agent
Tip: “Train 100” a few times and you’ll see the agent start taking shorter routes as epsilon decays.
Based on my Deep Learning module project: a Q-learning agent learns a near-optimal path in a 5×5 grid world using epsilon-greedy exploration. :contentReference[oaicite:5]{index=5}
Tip: “Train 100” a few times and you’ll see the agent start taking shorter routes as epsilon decays.