Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The Shift Toward Open and Reproducible AI Research," Under Review, 2026. doi: 10.48550/arXiv.2606.16974..
A Closer Look at Offline RL Agents
Authors: Yuwei Fu, Di Wu, Benoit Boulet
NeurIPS 2022 | Venue PDF | LLM Run Details | Input Tokens: 21,666 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 5,854 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this work, we ๏ฌrst introduce a set of experiments to evaluate of๏ฌine RL agents, focusing on three fundamental aspects: representations, value functions and policies. |
| Researcher Affiliation | Academia | Yuwei Fu, Di Wu, Benoit Boulet McGill University EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | Code is available at: https://github.com/fuyw/RIQL. |
| Open Datasets | Yes | on the standard D4RL dataset [14]. |
| Dataset Splits | Yes | For each probing target, we use a 5-fold cross-validation on Dprobe to train a linear regression model with Mean Squared Error (MSE) loss. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for experiments in the provided text. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper mentions training details but does not provide specific hyperparameter values or comprehensive system-level training settings in the provided text. |