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..
People Do Not Just Plan,They Plan to Plan
Authors: Mark Ho, David Abel, Jonathan Cohen, Michael Littman, Thomas Griffiths1300-1307
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our account makes quantitative predictions about how people should plan and meta-plan as a function of the overall structure of a task, which we test in two experiments with human participants. We find that people s reaction times reflect a planned use of information processing, consistent with our account. |
| Researcher Affiliation | Academia | 1Department of Psychology, Princeton University, Princeton, NJ 2Department of Computer Science, Brown University, Providence, RI |
| Pseudocode | No | Finally, at the end of this section and in the supplementary materials, we present a gradient-based algorithm for solving this objective. |
| Open Source Code | No | The paper does not provide any explicit statements or links regarding open-source code availability for the described methodology. |
| Open Datasets | No | The paper describes how the Gridworld mazes were generated for the experiments, but it does not provide any information, links, or citations for public access to these datasets. |
| Dataset Splits | No | The paper describes experiments with human participants and mazes but does not mention any specific training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not specify any particular hardware used for running the models or experiments, such as GPU or CPU models. |
| Software Dependencies | No | The paper mentions the 'Adam optimizer' and 'psi Turk framework' but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | Yes | Step costs were included ( .1 points) and the discount rate was set to .99, with λ = 0.01. Planning iterations were chosen such that value iteration would converge (H = 100), while meta-planning parameters were solved using the Adam optimizer (Kingma and Ba 2014) for N = 200 iterations (see supplementary materials for details on the algorithm). |