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Jahr: 2021
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  1. Liudvikas Nemiro; Gerard Canal; Oscar Lima; Michael Cashmore; Mark Roberts

    Designing an Adaptable Benchmark and Competition Simulation for Integrated Planning and Execution

    In: Workshop on the International Planning Competition (WIPC). International Conference on Automated Planning and Scheduling (ICAPS-2021), located at …

  2. Tomás Ribeiro; Oscar Lima; Michael Cashmore; Andrea Micheli; Rodrigo Ventura

    Olisipo: A probabilistic approach to the adaptable execution of deterministic temporal plans

    In: Proceedings of the International Symposium on Temporal Representation and Reasoning. International Symposium on Temporal Representation and …

  3. Pascal Klink; Hany Abdulsamad; Boris Belousov; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 182:1-182:52, JMLR, 2021.

  4. Qin Li; Georgia Chalvatzaki; Jan Peters; Yong Wang

    Directed Acyclic Graph Neural Network for Human Motion Prediction

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, …

  5. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

  6. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Convex Regularization in Monte-Carlo Tree Search

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

  7. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Robot Reinforcement Learning on the Constraint Manifold

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, …

  8. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and …

  9. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  10. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

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