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Displaying results 41 to 50 of 795.
  1. Riad Akrour; Davide Tateo; Jan Peters

    Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 44, No. 10, Pages 6795-6806, IEEE, 2022.

  2. Samuele Tosatto; Jo~ao Carvalho; Jan Peters

    Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 44, No. 10, Pages 5996-6010, IEEE, 2022.

  3. Janosch Moos; Kay Hansel; Hany Abdulsamad; Svenja Stark; Debora Clever; Jan Peters

    Robust Reinforcement Learning: A Review of Foundations and Recent Advances

    In: Machine Learning and Knowledge Extraction, Vol. 4, No. 1, Pages 276-315, MDPI, 3/2022.

  4. Vignesh Prasad; Ruth Stock-Homburg; Jan Peters

    Human-Robot Handshaking: A Review

    In: International Journal of Social Robotics, Vol. 14, No. 1, Pages 277-293, Springer, 2022.

  5. Bang You; Oleg Arenz; Youping Chen; Jan Peters

    Integrating contrastive learning with dynamic models for reinforcement learning from images

    In: Neurocomputing, Vol. 476, Pages 102-114, Elsevier, 2022.

  6. Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

    Robot Learning From Randomized Simulations: A Review

    In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

  7. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayesian lifelong learning for multi-armed bandits

    In: Data Mining and Knowledge Discovery, Vol. 36, No. 2, Pages 841-876, Springer, 2022.

  8. Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

    In: Algorithms, Vol. 15, No. 3, Pages 0-10, MDPI, 2022.

  9. Interpretability in Activation Space Analysis of Transformers: A Focused Survey

    In: AIMLAI' 22 Workshop. ACM International Conference on Information and Knowledge Management (CIKM-2022), October 17-21, Atlanta, Georgia, USA, CEUR …

  10. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.