## Stacked Bar Chart: Number of Solved Levels by Agent Type and Game
### Overview
The image is a stacked bar chart comparing the number of solved levels across different game types (private and public) and agent configurations. The y-axis represents the "Number of Solved Levels," ranging from -10 to 15. The x-axis represents different agent configurations: "LLM + DSL," "Random Agent," "+ Frame Segmentation," "+ Prioritize New Actions," and "+ Graph Exploration." The chart uses stacked bars to show the contribution of each game to the total solved levels for each agent configuration. The horizontal line at y=0 separates the public and private games.
### Components/Axes
* **Y-axis:** "Number of Solved Levels," ranging from -10 to 15, with tick marks at intervals of 5.
* **X-axis:** Agent configurations:
* "LLM + DSL"
* "Random Agent"
* "+ Frame Segmentation"
* "+ Prioritize New Actions"
* "+ Graph Exploration"
* **Legend (Top-Left):**
* **Private games:**
* as66 (light green)
* lp85 (light tan)
* sp80 (light blue)
* Unknown (gray)
* **Public games:**
* ft09 (dark green)
* ls20 (orange)
* vc33 (pink)
* **Horizontal Line:** A thick black line at y=0 separates the public and private games.
* **Dashed Horizontal Lines:** Faint dashed lines at y=5, y=10, and y=15.
### Detailed Analysis
**LLM + DSL:**
* Unknown: 5
**Random Agent:**
* Private Games:
* as66: 5
* lp85: 1
* sp80: 1
* Public Games:
* ft09: 0
* ls20: 1
* vc33: 1
* Total: 6
**+ Frame Segmentation:**
* Private Games:
* as66: 5
* lp85: 1
* sp80: 1
* Public Games:
* ft09: 0
* ls20: 2
* vc33: 5
* Total: 7
**+ Prioritize New Actions:**
* Private Games:
* as66: 4
* lp85: 1
* sp80: 1
* Public Games:
* ft09: 0
* ls20: 2
* vc33: 5
* Total: 6
**+ Graph Exploration:**
* Private Games:
* as66: 7
* lp85: 2
* sp80: 1
* Public Games:
* ft09: 0
* ls20: 2
* vc33: 5
* Total: 10
### Key Observations
* The "LLM + DSL" agent only solves "Unknown" private games.
* The "+ Graph Exploration" agent configuration achieves the highest number of solved levels (10).
* The "ft09" public game is never solved by any agent configuration.
* The "vc33" public game consistently contributes a significant portion to the total solved levels across all agent configurations.
* The number of solved levels for private games generally increases as the agent configuration becomes more sophisticated.
### Interpretation
The chart demonstrates the impact of different agent configurations on the number of solved levels in both private and public games. The "LLM + DSL" agent appears to be a baseline, only solving "Unknown" private games. Adding "Frame Segmentation," "Prioritize New Actions," and "Graph Exploration" progressively improves the agent's ability to solve levels, particularly in private games. The "Graph Exploration" agent configuration stands out as the most effective, achieving the highest number of solved levels overall. The consistent performance of the "vc33" public game suggests it may be an easier or more suitable game for these agents compared to "ft09," which is never solved. The negative values are not possible, and are likely an artifact of the stacking of the bars.
