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..
On the interaction between supervision and self-play in emergent communication
Authors: Ryan Lowe*, Abhinav Gupta*, Jakob Foerster, Douwe Kiela, Joelle Pineau
ICLR 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We then empirically investigate various S2P schedules that begin with supervised learning in two environments: a Lewis signaling game with symbolic inputs, and an image-based referential game with natural language descriptions. |
| Researcher Affiliation | Collaboration | Ryan Lowe , Abhinav Gupta MILA Jakob Foerster, Douwe Kiela Facebook AI Research Joelle Pineau Facebook AI Research MILA |
| Pseudocode | No | The paper describes methods and processes but does not include any explicitly labeled 'Pseudocode', 'Algorithm', or structured algorithmic blocks. |
| Open Source Code | Yes | 1Code is available at https://github.com/backpropper/s2p. |
| Open Datasets | Yes | For this game, the target language L is English we obtain English image descriptions using caption data from MS COCO and Flickr30k. |
| Dataset Splits | Yes | To help describe these methods, we further split the seed dataset D into Dtrain, which is used for training, and Dval which is used for early-stopping. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU/CPU models, processor types, or memory used for running the experiments. |
| Software Dependencies | No | The paper mentions software components and models like 'GRU', 'Gumbel-Softmax', 'Resnet50', and optimizers 'Adam, SGD', but does not provide specific version numbers for any software dependencies or libraries. |
| Experiment Setup | Yes | We provide hyperparameter details in Table 1. |