Executive Solution Overview
## **COE292 — Homework 1: Intelligent Explorer (Starter)** Complete the **TODO** sections only. Do **not** rename functions or change their arguments. You will implement the core Q-learning logic while the scaffolding (seeding, BFS reachability, environment helpers, printing utilities) is provided f…
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## **COE292 — Homework 1: Intelligent Explorer (Starter)**
Complete the **TODO** sections only. Do **not** rename functions or change their arguments.
You will implement the core Q-learning logic while the scaffolding (seeding, BFS reachability, environment helpers, printing utilities) is provided for you.
### **Parts**
– **Part 1 (Training)**: Learn for 1000 episodes from zero knowledge; print knowledge matrices and the final greedy path + energy.
– **Part 2 (Step-by-Step)**: Apply Q-updates along a fixed path with a given initial knowledge vector; print per-step updates and the final matrix.
**Rules**
– Only the Python standard library and `numpy` are allowed.
– Keep output formats **exact** (spacing/labels) because the autograder parses them.
– Set your `STUDENT_ID` in the first code cell.
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