Abstract is missing.
- A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning AlgorithmsCédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer. [doi]
- EvalNE: A Framework for Evaluating Network Embeddings on Link PredictionAlexandru Mara, Jefrey Lijffijt, Tijl De Bie. [doi]
- Reproducibility in Machine Learning for HealthMatthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini. [doi]
- Minigo: A Case Study in Reproducing Reinforcement Learning ResearchBrian Lee, Andrew Jackson, Tom Madams, Seth Troisi, Derek Jones. [doi]
- Reproducibility and Stability Analysis in Metric-Based Few-Shot LearningThomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise. [doi]
- Reproducing Meta-learning with differentiable closed-form solversArnout Devos, Sylvain Chatel, Matthias Grossglauser. [doi]
- simple_rl: Reproducible Reinforcement Learning in PythonDavid Abel. [doi]
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled RepresentationsFrancesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem. [doi]