Related publications (34)

Reward timing matters in motor learning

Pierre Theopistos Vassiliadis, Julie Duqué

Reward timing, that is, the delay after which reward is delivered following an action is known to strongly influence reinforcement learning. Here, we asked if reward timing could also modulate how people learn and consolidate new motor skills. In 60 health ...
CELL PRESS2022

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

In this paper, we present a novel activity-based scheduling model that combines a continuous optimisation framework for temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dime ...
2021

Global Climate Change Mitigation: Strategic Incentives

Sigit Pria Perdana

Central to global agreement on carbon emissions are strategic interactions amongst regions over abatement policy and the benefits to be shared. These are re-examined in this paper, in which benefits from mitigation stem from a meta-analysis that links carb ...
2020

The triangular value of patents

Albina Khairullina

This thesis addresses the question of a patent value from three different angles. It comprises three papers on the patent valuation methods. The patent valuation issues are well-known to the world of research and practice. However, the debates over what th ...
EPFL2020

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

Efficient Learning from Comparisons

Lucas Maystre

Humans are comparison machines: comparing and choosing an item among a set of alternatives (such as objects or concepts) is arguably one of the most natural ways for us to express our preferences and opinions. In many applications, the analysis of data con ...
EPFL2018

Strategic energy planning under uncertainty

Stefano Moret

Various countries and communities are defining or rethinking their energy strategy driven by concerns for climate change and security of energy supply. Energy models, often based on optimization, can support this decision-making process. In the current ene ...
EPFL2017

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