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 embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Authors: Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang
ICML 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We introduce new algorithms for the tabular and function approximation settings that are provably sample-ef๏ฌcient with hindsight observability, even in POMDPs that would otherwise be statistically intractable. We give a lower bound showing that the tabular algorithm is optimal in its dependence on latent state and observation cardinalities. |
| Researcher Affiliation | Collaboration | 1Stanford University 2Google Research 3HKUST. |
| Pseudocode | Yes | Algorithm 1 Hindsight OPtimism with Bonus (HOP-B) ... Algorithm 2 Hindsight OPtimism with Version spaces(HOP-V) |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-sourcing code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not report on empirical experiments using specific datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not report on empirical experiments, thus no dataset splits for validation are specified. |
| Hardware Specification | No | The paper is theoretical and does not report on empirical experiments, thus no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not report on empirical experiments, thus no software dependencies with version numbers are specified. |
| Experiment Setup | No | The paper is theoretical and does not report on empirical experiments, thus no experimental setup details like hyperparameters are provided. |