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Discrete choice models of pedestrian walking behavior

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Multi-agent Learning with Privacy Guarantees

A multi-agent system consists of a collection of decision-making or learning agents subjected to streaming observations from some real-world phenomenon. The goal of the system is to solve some global learning or optimization problem in a distributed or dec ...

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Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

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Over the past two decades, the thermo-hydro-mechanical behavior of earth-contact structures such as piles, walls, slabs, and tunnels, which simultaneously provide structural support and energy supply, has been studied through various field experiments and ...

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Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

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Robust discrete choice models with t-distributed kernel errors

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Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

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Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

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Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

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Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

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Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

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Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

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Discrete choice models of pedestrian walking behavior

Multi-agent Learning with Privacy Guarantees

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

Multi-agent actor-critic with time dynamical opponent model

Robust discrete choice models with t-distributed kernel errors

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Networked Signal and Information Processing: Learning by multiagent systems

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

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Multi-agent Learning with Privacy Guarantees

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

Multi-agent actor-critic with time dynamical opponent model

Robust discrete choice models with t-distributed kernel errors

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Networked Signal and Information Processing: Learning by multiagent systems

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Commoning the touristic city. Urban pedestrian routes and the ambiguous politics of exploration

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Commoning the touristic city. Urban pedestrian routes and the ambiguous politics of exploration