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Characterization of the Electrophysiological Characteristics of Chronic Atrial Fibrillation for Efficient Simulations.

, , , , , , , and . EMBC, page 1-4. IEEE, (2023)

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Simulating socially intelligent agents in semantic virtual environments., , , and . Knowl. Eng. Rev., 23 (4): 369-388 (2008)Strategies for simulating pedestrian navigation with multiple reinforcement learning agents., , and . Auton. Agents Multi Agent Syst., 29 (1): 98-130 (2015)Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study., , and . MABS, volume 9002 of Lecture Notes in Computer Science, page 228-238. Springer, (2014)Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology Simulations., , , , , , , , , and 2 other author(s). EMBC, page 1-4. IEEE, (2023)Arrhythmic3D: a fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models., , , , , , , , and . CinC, page 1-4. IEEE, (2021)Automatic Location of Sources of Electrical Activation from Electroanatomical Maps., , , and . CinC, www.cinc.org, (2016)J-MADeM, a market-based model for complex decision problems., , and . Log. J. IGPL, 19 (2): 333-342 (2011)MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups., , and . Simul. Model. Pract. Theory, (2014)Search Based Planning: A Model for Character Behaviour., , , and . GAME-ON, ?, (2002)A neural approach to an attentive navigation for 3D intelligent virtual agents., and . SMC, page 5. IEEE, (2002)