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  • Does ethnic density influence community participation in mass participation physical activity events?

    Authors: Robert A. Smith, Paul P. Schneider, Alice Bullas, Steve Haake, Helen Quirk, Rami Cosulich1, Elizabeth Goyder
    DOI: 10.12688/wellcomeopenres.15657.2
    Submitted by rasmith3    
      Mean reproducibility score:   9.2/10   |   Number of reviews:   5
    Why should we attempt to reproduce this paper?

    The code and data are both on GitHub. The paper has been published in Wellcome Open Research and has been replicated by multiple other authors.

  • PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals

    Authors: Henry Charlesworth and Giovanni Montana
    Submitted by gmontana74      
      Mean reproducibility score:   10.0/10   |   Number of reviews:   1
    Why should we attempt to reproduce this paper?

    This paper proposes a probabilistic planner that can solve goal-conditional tasks such as complex continuous control problems. The approach reaches state-of-the-art performance when compared to current deep reinforcement learning algorithms. However, the method relies on an ensemble of deep generative models and is computationally intensive. It would be interesting to reproduce the results presented in this paper on their robotic manipulation and navigation problems as these are very challenging problems that current reinforcement learning methods cannot easily solve (and when they do, they require a significantly larger number of experiences). Can the results be reproduced out-of-the-box with the provided code?

  • Hyperparameter importance Across Datasets

    Authors: Jan N van Rijn and Frank Hutter
    DOI: 10.1145/3219819.3220058
    Submitted by hub-admin    
      Mean reproducibility score:   7.0/10   |   Number of reviews:   1
    Why should we attempt to reproduce this paper?

    I tried hard to make this paper as reproducible as possible, but as techniques and dependencies become more complex, it is hard to make it 100% clear. Any form of feedback is more than welcome.

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