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Building Reactive Path-Finders through Reinforcement Connectionist Learning: Three Issues and an Architecture.

. ECAI, page 661-665. John Wiley and Sons, (1992)

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Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems., , , , , and . VTC Spring, page 1-5. IEEE, (2011)Offline decoding of upper limb muscle synergies from EEG slow cortical potentials., , , and . EMBC, page 3594-3597. IEEE, (2013)Reinforcement learning of sensor-based reaching strategies for a two-link manipulator., and . IROS, page 1345-1352. IEEE, (1996)Spatial filters yield stable features for error-related potentials across conditions., , , and . SMC, page 661-666. IEEE, (2016)Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks., , and . SMC, page 550-555. IEEE, (2018)Benchmarking classification techniques using the Opportunity human activity dataset., , , , , , and . SMC, page 36-40. IEEE, (2011)Non-invasive estimation of local field potentials for neuroprosthesis control., , , , and . Cogn. Process., 6 (1): 59-64 (2005)Embedding learning in behaviour-based architectures: a conceptual approach., , , and . J. Intell. Manuf., 9 (2): 201-207 (1998)Characterizing the Onset and Offset of Motor Imagery During Passive Arm Movements Induced by an Upper-Body Exoskeleton., , , , and . IROS, page 3789-3794. (2023)The Use of Brain-Computer Interfacing in Ambient Intelligence., , , , , and . AmI Workshops, volume 11 of Communications in Computer and Information Science, page 268-285. Springer, (2007)