# Forager Training Log

Document each training attempt below. For each attempt, write your hypothesis
before you run the experiment, then fill in the evidence and analysis after.

Use `retro-gamer info runs/forager/` to see a summary of your run,
`cat runs/forager/training.log` to see the full log, and
`retro-gamer plot runs/forager/ -o runs/forager/training.png` to graph it.

---

## Attempt 1

### Hypothesis

*Before training, predict what will happen with the default configuration.
Will the agent learn to find the food? How quickly? What might go wrong?*

Your prediction:

### Configuration

*Copy the relevant sections of `runs/forager/config.toml` here.*

```toml

```

### Evidence

*Paste the first and last few lines of your training log, and any interesting
moments in between.*

```

```

### Analysis

*What happened? How do the numbers — avg_reward, avg_steps, epsilon, avg_loss —
tell the story of what the agent learned? Did the result match your prediction?*

---

## Attempt 2

### Hypothesis

*Based on what you observed in Attempt 1, what will you change and why?
Predict the outcome.*

### Configuration

```toml

```

### Evidence

```

```

### Analysis

---

## Attempt 3 (if needed)

### Hypothesis

### Configuration

```toml

```

### Evidence

```

```

### Analysis

---

## Final analysis

**Which attempt produced the best-trained agent? Run `retro-gamer play` on your
best run's checkpoints and describe what the agent does.**

*Your answer:*

**Compare two of your attempts. What changed between them, and how did that
change affect the training curve?**

*Your answer:*

**If you had more time, what would you try next to improve the agent further?
Refer to specific hyperparameters or configuration options.**

*Your answer:*
