Computational models of intrinsic motivation for curiosity and creativity

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Related publications (29)

Model-based reinforcement learning and navigation in animals and machines

For decades, neuroscientists and psychologists have observed that animal performance on spatial navigation tasks suggests an internal learned map of the environment. More recently, map-based (or model-based) reinforcement learning has become a highly activ ...

EPFL2018

One-shot learning and eligibility traces in sequential decision making

Marco Philipp Lehmann

When humans or animals perform an action that led to a desired outcome, they show a tendency to repeat it. The mechanisms underlying learning from past experience and adapting future behavior are still not fully understood. In this thesis, I study how huma ...

EPFL2018

Decisive role of nuclear quantum effects on surface mediated water dissociation at finite temperature

Michele Ceriotti, Mariana Rossi Carvalho

Water molecules adsorbed on inorganic substrates play an important role in several technological applications. In the presence of light atoms in adsorbates, nuclear quantum effects (NQEs) influence the structural stability and the dynamical properties of t ...

2018

Nanopatterning of a Stimuli-Responsive Fluorescent Supramolecular Polymer by Thermal Scanning Probe Lithography

Jürgen Brugger, Samuel Zimmermann

The miniaturization of nanometer-sized multicolor fluorescent features is of continuous significance for counterfeit security features, data storage, and sensors. Recent advances in engineering of stimuli-responsive supramolecular polymeric materials that ...

2017

Quantum Chemical Study of the Water Exchange Mechanism of the Americyl(VI) Aqua Ion

François Rotzinger, Alberto Fabrizio

The water exchange reaction of the americyl(VI) aqua ion was investigated with quantum chemical methods, density functional theory (DFT), and wave function theory (WFT). Associative and dissociative substitution mechanisms were studied, whereby DFT produce ...

American Chemical Society2016

Does computational neuroscience need new synaptic learning paradigms?

Wulfram Gerstner, Johanni Michael Brea

Computational neuroscience is dominated by a few paradigmatic models, but it remains an open question whether the existing modelling frameworks are sufficient to explain observed behavioural phenomena in terms of neural implementation. We take learning and ...

Elsevier Science Bv2016

Financing rail infrastructure by multi-annual performance contracts : a case-based evaluation

Dagny Anne Greinus

After decades of public or private vertically integrated monopolies, the organisation of the European railway sector was re-structured. The European Commission has been seeking to improve the efficiency of the railways to strengthen the position of railway ...

EPFL2016

Dissociating effect of upper limb non-use and overuse on space and body representations

Andrea Serino, Elisa Canzoneri, Michela Bassolino

Accurate and updated representations of the space where the body acts, i.e. the peripersonal space (PPS), and the location and dimension of body parts (body representation, BR) are essential to perform actions. Because both PPS and BR are involved in motor ...

Pergamon-Elsevier Science Ltd2015

A key role for nectin-1 in the ventral hippocampus in contextual fear memory

Maria del Carmen Sandi Perez, Jocelin Grosse, Michael van der Kooij, Martina Fantin

Nectins are cell adhesion molecules that are widely expressed in the brain. Nectin expression shows a dynamic spatiotemporal regulation, playing a role in neural migratory processes during development. Nectin-1 and nectin-3 and their heterophilic trans-int ...

Public Library of Science2013

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