## Bar Chart: Solved Levels by Game Type and Strategy
### Overview
The chart compares the number of solved levels across different game types (Private and Public) using various AI strategies. Private games include as66, lp85, sp80, and Unknown categories, while Public games feature ft09, ls20, and vc33. Strategies tested include LLM + DSL, Random Agent, Frame Segmentation, Prioritize New Actions, and Graph Exploration.
### Components/Axes
- **X-axis (Strategies)**:
- LLM + DSL
- Random Agent
- + Frame Segmentation
- + Prioritize New Actions
- + Graph Exploration
- **Y-axis (Number of Solved Levels)**: Ranges from -10 to 15, with 0 as the baseline.
- **Legends**:
- **Private Games** (Top-left):
- as66 (Green)
- lp85 (Light Brown)
- sp80 (Teal)
- Unknown (Gray)
- **Public Games** (Bottom-left):
- ft09 (Teal)
- ls20 (Orange)
- vc33 (Pink)
### Detailed Analysis
#### Private Games
- **LLM + DSL**:
- as66: 5
- lp85: 0
- sp80: 0
- Unknown: 5
- **Random Agent**:
- as66: 5
- lp85: 1
- sp80: 1
- Unknown: 1
- **+ Frame Segmentation**:
- as66: 5
- lp85: 1
- sp80: 1
- Unknown: 1
- **+ Prioritize New Actions**:
- as66: 4
- lp85: 1
- sp80: 1
- Unknown: 1
- **+ Graph Exploration**:
- as66: 7
- lp85: 2
- sp80: 1
- Unknown: 0
#### Public Games
- **LLM + DSL**:
- ft09: 0
- ls20: 0
- vc33: 3
- **Random Agent**:
- ft09: 2
- ls20: 1
- vc33: 5
- **+ Frame Segmentation**:
- ft09: 2
- ls20: 1
- vc33: 5
- **+ Prioritize New Actions**:
- ft09: 2
- ls20: 1
- vc33: 5
- **+ Graph Exploration**:
- ft09: 2
- ls20: 2
- vc33: 5
### Key Observations
1. **Private Games Dominance**:
- as66 consistently solves the most levels across all strategies (5–7), with Graph Exploration achieving the highest (7).
- Unknown levels are most frequent in LLM + DSL (5) and decline with advanced strategies.
2. **Public Games Trends**:
- vc33 solves the most levels (5–9), with Graph Exploration achieving the highest (9).
- ft09 and ls20 show minimal progress, with ls20 never exceeding 2 solved levels.
3. **Strategy Impact**:
- Frame Segmentation and Prioritize New Actions show marginal improvements over Random Agent.
- Graph Exploration significantly boosts performance for both game types.
### Interpretation
The data suggests that **Graph Exploration** is the most effective strategy for solving levels, particularly for Private games (as66) and Public games (vc33). The "Unknown" category in Private games indicates unresolved challenges, which decrease with advanced strategies. Public games show a clear preference for vc33, while Private games rely heavily on as66. The lack of progress for ls20 and ft09 in Public games highlights potential limitations in these game types or strategies. The baseline (0) acts as a reference, emphasizing that negative values are not represented, suggesting all strategies achieve at least partial success.
