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A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domains.

, , , and . GECCO, page 391-398. ACM, (2013)

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An Empirical Study of Active Inference on a Humanoid Robot., , and . IEEE Trans. Cogn. Dev. Syst., 14 (2): 462-471 (2022)Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization., , and . CoRR, (2021)Multi-UAV target search using decentralized gradient-based negotiation with expected observation., , , , and . Inf. Sci., (2014)Robot in the Mirror: Toward an Embodied Computational Model of Mirror Self-Recognition., , , , and . Künstliche Intell., 35 (1): 37-51 (2021)Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements., , , and . Sensors, 12 (3): 2487-2518 (2012)Sensorimotor learning for artificial body perception., , , and . CoRR, (2019)Deep Active Inference for Partially Observable MDPs., and . IWAI, volume 1326 of Communications in Computer and Information Science, page 61-71. Springer, (2020)Learning Policies for Continuous Control via Transition Models., , , and . IWAI, volume 1721 of Communications in Computer and Information Science, page 162-178. Springer, (2022)End-to-End Pixel-Based Deep Active Inference for Body Perception and Action., and . CoRR, (2020)Gaze Tracing in a Bounded Log-Spherical Space for Artificial Attention Systems., , and . ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 407-419. Springer, (2015)