Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
Authors: Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
NeurIPS 2024 | Venue PDF | LLM Run Details | Input Tokens: 33,815 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 2,717 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Justification: This is a theoretical paper, with no experiments. |
| Researcher Affiliation | Collaboration | Bianca Marin Moreno Inria Margaux Brégère Sorbonne Université Pierre Gaillard Inria Nadia Oudjane EDF R&D |
| Pseudocode | Yes | Algorithm 1 Meta CURL with EWA... Algorithm 2 EWA (Exponentially Weighted Average)... Algorithm 3 Online estimation of the probability kernel (ˆpt estimator)... Algorithm 4 Greedy MD-CURL |
| Open Source Code | No | Justification: This is a theoretical paper, with no experiments. The NeurIPS checklist states 'This paper does not release new assets.' and 'The answer NA means that the paper does not include experiments.' |
| Open Datasets | No | Justification: This is a theoretical paper, with no experiments or datasets. The NeurIPS checklist states 'The answer NA means that the paper does not include experiments.' |
| Dataset Splits | No | Justification: This is a theoretical paper, with no experiments or datasets. The NeurIPS checklist states 'The answer NA means that the paper does not include experiments.' |
| Hardware Specification | No | Justification: This is a theoretical paper, with no experiments. The NeurIPS checklist states 'The answer NA means that the paper does not include experiments.' |
| Software Dependencies | No | Justification: This is a theoretical paper, with no experiments. The NeurIPS checklist states 'The answer NA means that the paper does not include experiments.' |
| Experiment Setup | No | Justification: This is a theoretical paper, with no experiments. The NeurIPS checklist states 'The answer NA means that the paper does not include experiments.' |