PLfB: Policy Learning from Tutorial Books Artifacts

Policy Learning from Tutorial Books Data accompanies a research method called URI (Understanding, Rehearsing and Introspecting). Generated artifacts support reproducing the public PLfB/URI code release, including football trajectories, rehearsal outputs, and Tic-Tac-Toe tutorial artifacts. Author ziyan98 uploaded this dataset to Hugging Face, with a last update timestamp of 2026-06-03.

Use Cases

• Reproduce CIQL-style training for football agents based on the offline trajectory data mentioned.
• Analyze LLM-generated rehearsal outputs for policy learning experiments.
• Benchmark policy learning methods using the provided Tic-Tac-Toe tutorial and simulator artifacts.
• Evaluate final model performance using the included URI/PLfB evaluation logs and checkpoints.

Strengths

• Dataset is directly tied to a named, published research method (URI/PLfB).
• Includes multiple generated artifact types (trajectories, logs, checkpoints) for reproducibility.
• Last updated timestamp is explicitly provided as 2026-06-03 21:28:19.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Hugging Face user ziyan98.

Collection Method

Likely generated as artifacts from the URI/PLfB research pipeline.

Freshness

Last updated 2026-06-03 21:28:19; freshness should be verified.