Publications

    Hierarchical Modeling

  • Jonathan H. Huggins, Joshua B. Tenenbaum:
    Risk and Regret of Hierarchical Bayesian Learners (pdf) (bibtex)
    Proceedings of the 32nd International Conference on Machine Learning
    #learning theory, #hierarchical modeling
    @article{JonathanH.Huggins:2015:2be49,
    author = {Jonathan H. Huggins and Joshua B. Tenenbaum},
    journal = {Proceedings of the 32nd International Conference on Machine Learning},
    title = {Risk and Regret of Hierarchical Bayesian Learners},
    year = {2015},
    keywords = {learning theory, hierarchical modeling},
    doi = {},
    url = {http://arxiv.org/pdf/1505.04984.pdf}
    }
  • Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
    Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #reinforcement learning, #hierarchical modeling, #deep learning
    @article{TejasDKulkarni:2016:847fe,
    author = {Tejas D Kulkarni and Karthik Narasimhan and Ardavan Saeedi and Josh Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation},
    year = {2016},
    keywords = {reinforcement learning, hierarchical modeling, deep learning},
    doi = {},
    url = {http://papers.nips.cc/paper/6232-hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation}
    }

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