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Publications

Displaying results 51 to 60 of 795.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Tim Schneider; Boris Belousov; Hany Abdulsamad; Jan Peters

    Active inference for robotic manipulation

    In: The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2022). Multidisciplinary Conference on Reinforcement …

  7. Tim Schneider; Boris Belousov; Georgia Chalvatzaki; Diego Romeres; Devesh K. Jha; Jan Peters

    Active Exploration for Robotic Manipulation

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  8. Max Siebenborn; Boris Belousov; Junning Huang; Jan Peters

    How Crucial is Transformer in Decision Transformer?

    In: NeurIPS 2022 Workshop - Foundation Models for Decision Making. Workshop on Foundation Models for Decision Making (FMDM-2022), December 3, Virtual, …

  9. Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters

    Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking

    In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, …

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

    PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.16110, Pages 0-10, arXiv, 2022.