Learning Speed: Epochs Needed to Train Agents Across Datasets and Conditions

A table showing the mean number of epochs required to train agents for different datasets and conditions. The dataset was authored by Kristina Kobrock and is hosted on figshare under a CC-BY-4.0 license. It was last updated on May 26, 2026.

Use Cases

• Compare training efficiency across different datasets based on the reported mean epoch counts.
• Benchmark agent learning speed under various experimental conditions.
• Analyze the relationship between dataset characteristics and the epochs needed for training.

Strengths

• Provides a specific, quantitative measure of training difficulty (mean number of epochs).
• Data is openly available under a permissive CC-BY-4.0 license.
• The dataset is small (4.2 KB), ensuring quick download and inspection.

Limitations

• The dataset is extremely small (4.2 KB), indicating very limited scope and likely a summary statistic rather than raw training logs.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for detailed analysis.

Provenance

Source

figshare

Freshness

Last updated 2026-05-26 17:46:27; freshness should be verified.