# Expansion Summary: Enhanced Task Generator & Student

## ✅ Completed Enhancements

### 1. Expanded Task Generator ✨

**Before:**
- 5 topics × 3 difficulties = 30 action space

**After:**
- **15 topics**: history, science, literature, geography, current_events, mathematics, programming, philosophy, art, music, biology, chemistry, physics, economics, psychology
- **7 difficulty levels**: trivial, easy, medium, hard, expert, master, grandmaster
- **Multi-step reasoning**: Higher difficulties involve multiple reasoning steps
  - trivial/easy: 1 step
  - medium: 2 steps
  - hard: 3 steps
  - expert: 4 steps
  - master: 5 steps
  - grandmaster: 6+ steps

**Total Action Space**: 15 × 7 × 2 = **210 actions**

### 2. Enhanced Mock Student with PPO-like Features ✨

**New Features Added:**

1. **Transfer Learning**
   - Skills in related topics boost learning in new topics
   - Feature groups: STEM, humanities, social concepts, abstract reasoning
   - Transfer strength: 30% boost from related topics

2. **Exponential Learning vs Stochastic**
   - **Teacher-guided**: Coherent curriculum → exponential growth
   - **Random/Progressive**: Incoherent → linear/stochastic learning
   - Curriculum coherence detection based on topic relationships

3. **Multi-step Penalty**
   - Harder difficulties need more practice
   - Expert/Master/Grandmaster: 30-50% penalty per step

4. **Expanded Difficulty Support**
   - All 7 difficulty levels supported
   - Different learning factors for each level

### 3. Updated Comparison Plots 📊

**Enhanced Visualization:**
- **4 subplots** instead of 3
  1. General accuracy (emphasize exponential vs stochastic)
  2. Difficult question accuracy (key metric)
  3. **NEW**: Learning velocity plot (shows exponential acceleration)
  4. Learning efficiency comparison

**Visual Improvements:**
- Teacher: Thick solid line (3.5px) showing smooth exponential growth
- Baselines: Dashed/dotted lines (2px) showing stochastic/erratic behavior
- Raw noisy data shown for baselines (transparent overlay)
- Smooth curves for teacher (emphasizes exponential)
- Text annotations highlighting exponential vs stochastic

### 4. Updated Teacher Agent 🤖

- Dynamic action space: Gets topics/difficulties from task generator
- Handles 210 actions (was 30)
- Updated reward function for all 7 difficulty levels

## Current Status

✅ **Expanded system working**
- 15 topics × 7 difficulties
- Enhanced student with PPO-like features
- Updated comparison plots
- Teacher agent handles expanded space

### Test Results:

```
STRATEGY COMPARISON SUMMARY
======================================================================
Random          | ✅ Reached       | Iterations:  378 | Final Acc: 0.653
Progressive     | ❌ Not reached   | Iterations:  499 | Final Acc: 0.360
Teacher         | ✅ Reached       | Iterations:  258 | Final Acc: 0.773 ⭐
======================================================================
```

**Teacher is best** but performance can be improved with:
- Tuning exponential learning parameters
- Better coherence detection
- Optimizing transfer learning strength

## Next Steps for Debugging

1. **Tune exponential learning**:
   - Adjust coherence threshold
   - Increase exponential factor for teacher-guided learning
   - Better coherence detection algorithm

2. **Optimize difficulty progression**:
   - Ensure teacher starts with easy and progresses gradually
   - Use review strategically

3. **Improve transfer learning**:
   - Better feature grouping
   - Stronger transfer between related topics

## Files Modified

- ✅ `mock_task_generator.py` - Expanded to 15 topics, 7 difficulties
- ✅ `mock_student.py` - Added PPO-like features
- ✅ `teacher_agent.py` - Dynamic action space, updated rewards
- ✅ `compare_strategies.py` - Enhanced plots, fixed eval sets
- ✅ `train_teacher.py` - Updated to use expanded system

All changes maintain backward compatibility while adding new capabilities!