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Publications associées (31)

Time course of prediction errors in sequential decision making

In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, the actual and expected outcome are compared to tell whether a decision was good or bad. The difference between the actual outcome and expected outcome is t ...

2018

Natural capital data visualization to promote sustainable decision making

Charlotte Gisèle Weil

In order to develop approaches to manage environmental assets sustainably and take nature more into account in major decisions, natural capital assessments reveal the specific benefits provided by nature. Effective communication, including clear visualizat ...

2017

What to Choose Next? A Paradigm for Testing Human Sequential Decision Making

Michael Herzog, Aaron Michael Clarke, Elisa Tartaglia

Many of the decisions we make in our everyday lives are sequential and entail sparse rewards. While sequential decision-making has been extensively investigated in theory (e.g., by reinforcement learning models) there is no systematic experimental paradigm ...

2017

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

In chess, a series of moves is made until a delayed sparse feedback (win, loss) is issued, which makes it impossible to evaluate the value of a single move. There are powerful reinforcement learning (RL) algorithms, which can cope with these sequential dec ...

2017

Neural Correlates of Sequential Decision Making

Michael Herzog, He Xu

2017

Unlocking efficiency and scalability of reversible logic synthesis using conventional logic synthesis

Mathias Soeken, Anupam Chattopadhyay

Latest quantum technologies promise realization of extremely large circuits, whereas, reversible logic synthesis, the key automation step for quantum computing suffers from scalability bottleneck. Sealability can be achieved with Decision Diagram (DD)-base ...

ACM/IEEE2016

SyReC: A hardware description language for the specification and synthesis of reversible circuits

Mathias Soeken

Although researchers and engineers originally focused on a preponderantly irreversible computing paradigm, alternative models receive more and more attention. Reversible computation is a promising example which has applications in many emerging technologie ...

2016

Put on that colour, it fits your emotion: Colour appropriateness as a function of expressed emotion

Christine Mohr, Cynthia Marchand

People associate affective meaning with colour, and this may influence decisions about colours. Hue is traditionally considered the most salient descriptor of colour and colour-affect associations, although colour brightness and saturation seem to have par ...

Routledge Journals, Taylor & Francis Ltd2016

Learning Search Strategies from Human Demonstrations

Guillaume Pierre Luc De Chambrier

Decision making and planning with partial state information is a problem faced by all forms of intelligent entities. The formulation of a problem under partial state information leads to an exorbitant set of choices with associated probabilistic outcomes m ...

EPFL2016

Reversible Logic Synthesis via Biconditional Binary Decision Diagrams

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù, Anupam Chattopadhyay

Reversible logic synthesis is an emerging research area to aid the circuit implementation for multiple nano-scale technologies with bounded fan-out. Due to the inherent com- plexity of this problem, several heuristics are proposed in the literature. Among ...

2015

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