Publications related to Reinforcement

Time intermittency in nondiffusive transport regimes of suprathermal ions in turbulent plasmas

Ambrogio Fasoli, Ivo Furno, Paolo Ricci, Marcelo Baquero Ruiz, Oulfa Chellaï, Fabian Manke

Intermittent phenomena have long been studied in the context of nondiffusive transport across a variety of fields. In the TORPEX device, the cross-field spreading of an injected suprathermal ion beam by electrostatic plasma turbulence can access different ...

AMER PHYSICAL SOC2019

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Katrin Beyer, João Saraiva Esteves Pacheco de Almeida, Angelica Rosso, Lisandro Arturo Jimenez Roa

The growing need for residential housing in Latin American countries has led to the construction of reinforced concrete buildings with wall thicknesses as low as 8–10 cm. Such walls have typically only a single layer of vertical rebars and are therefore pa ...

2018

Validation of NLFEA of Reinforced Concrete Walls Under Bidirectional Loading

Katrin Beyer, Beatrice Belletti

Nonlinear Finite Element Analysis (NLFEA) of the inelastic behaviour of RC walls are often carried out for uni-directional (in-plane) horizontal cyclic loading. In this paper the behaviour of RC walls with different cross-sections (T-shaped and U-shaped) s ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Non-contact femtosecond laser-based methods for investigating glass mechanics at small scales

Christos Edouardos Athanasiou

With the progress made in miniaturizing systems over the last decades, understanding materialsâ behavior at small scales has become a necessity. In this context, glass behavior has remained largely unknown, partly for technological reasons and partly due ...

EPFL2018

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

There have been many advances in the field of reinforcement learning in continuous control problems. Usually, these approaches use deep learning with artificial neural networks for approximation of policies and value functions. In addition, there have been ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

About specific and general factors for visual illusions

Michael Herzog, Aline Françoise Cretenoud, Gregory Francis, Lukasz Grzeczkowski

Contrary to studies of audition and cognition, we previously did not find evidence for a general common factor for vision but for many very specific ones. For example, we found strong correlations between 19 versions of the Ebbinghaus illusion, which diffe ...

2018

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

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Hadrien Hendrikx

In reinforcement learning, agents learn by performing actions and observing their outcomes. Sometimes, it is desirable for a human operator to \textit{interrupt} an agent in order to prevent dangerous situations from happening. Yet, as part of their learni ...

EPFL2017

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Reinforcement

Time intermittency in nondiffusive transport regimes of suprathermal ions in turbulent plasmas

Model-based reinforcement learning and navigation in animals and machines

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Validation of NLFEA of Reinforced Concrete Walls Under Bidirectional Loading

Non-contact femtosecond laser-based methods for investigating glass mechanics at small scales

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

About specific and general factors for visual illusions

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

Boosting olfactory cocktail-party performance by semi-supervised learning in mice

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Graph Chatbot

Chat with Graph Search

Non-contact femtosecond laser-based methods for investigating glass mechanics at small scales

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

Model-based reinforcement learning and navigation in animals and machines

Time intermittency in nondiffusive transport regimes of suprathermal ions in turbulent plasmas

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Validation of NLFEA of Reinforced Concrete Walls Under Bidirectional Loading

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

About specific and general factors for visual illusions

Boosting olfactory cocktail-party performance by semi-supervised learning in mice

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning