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..
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
Authors: Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We further provide experimental results that corroborate our theoretical ๏ฌndings. |
| Researcher Affiliation | Academia | Weichao Mao ECE and CSL University of Illinois at Urbana-Champaign EMAIL Kaiqing Zhang ECE and CSL University of Illinois at Urbana-Champaign EMAIL Qiaomin Xie ORIE Cornell University EMAIL Tamer Ba sar ECE and CSL University of Illinois at Urbana-Champaign EMAIL |
| Pseudocode | Yes | Our algorithm for continuous space MCTS, Polynomial Hierarchical Optimistic Optimization applied to Trees (POLY-HOOT), is presented in Algorithm 1. |
| Open Source Code | No | The paper does not provide a link to open-source code for the described methodology or state that it is available. |
| Open Datasets | Yes | We have chosen three benchmark tasks from Open AI Gym (Open AI, 2016) |
| Dataset Splits | No | The paper does not explicitly provide details about training, validation, or test splits. For the control tasks, performance is averaged over runs rather than using predefined dataset splits. |
| Hardware Specification | Yes | All tests are averaged over 10 (new) runs on a laptop with an Intel Core i5-9300H CPU. |
| Software Dependencies | No | The paper mentions 'Open AI Gym (Open AI, 2016)' but does not provide specific version numbers for this or any other software dependencies. |
| Experiment Setup | No | The paper states that 'The detailed experiment settings as well as additional experiment results can be found in Appendix E.' but these details are not present in the provided text. |