Publications associées à Renforcement

Additively manufactured steel reinforcement for small scale reinforced concrete modeling: Tensile and bond behavior

Small scale (1:30-1:40) Reinforced Concrete is useful for centrifuge testing. However, manufacturing the reinforcing cages by hand at this scale is practically difficult. This paper suggests that small scale reinforcement can be manufactured using a metal ...

Elsevier Sci Ltd2024

Simulating intra-household interactions for in- and out-of-home activity scheduling

Michel Bierlaire, Timothy Michael Hillel, Negar Rezvany

Various interactions, time arrangements, and constraints exist for individuals scheduling their day as a member of a household, which affect their in-home as well as out-of-home activity schedule. However, the existing activity-based models are mostly base ...

2023

Simulating intra-household interactions for in- and out-of-home activity scheduling

Michel Bierlaire, Timothy Michael Hillel, Negar Rezvany

Oxford2023

On the role of energy infrastructure in the energy transition. Case study of an energy independent and CO2 neutral energy system for Switzerland

François Maréchal, Jonas Schnidrig

The transition towards renewable energy is leading to an important strain on the energy grids. The question of designing and deploying renewable energy technologies in symbiosis with existing grids and infrastructure is arising. While current energy system ...

2023

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

Jesus Sanchez Rodriguez

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 ...

PUBLIC LIBRARY SCIENCE2023

A striatal circuit balances learned fear in the presence and absence of sensory cues

Ralf Schneggenburger, Olexiy Kochubey, Michael Kintscher

During fear learning, defensive behaviors like freezing need to be finely balanced in the presence or absence of threat-predicting cues (conditioned stimulus, CS). Nevertheless, the circuits underlying such balancing are largely unknown. Here, we investiga ...

eLIFE SCIENCES PUBL LTD2023

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Colin Neil Jones, Bratislav Svetozarevic, Loris Di Natale

Model-free Reinforcement Learning (RL) generally suffers from poor sample complexity, mostly due to the need to exhaustively explore the state-action space to find well-performing policies. On the other hand, we postulate that expert knowledge of the syste ...

2023

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Olga Fink, Mina Montazeri

This paper proposes a safe reinforcement learning algorithm for generation bidding decisions and unit maintenance scheduling in a competitive electricity market environment. In this problem, each unit aims to find a bidding strategy that maximizes its reve ...

ELSEVIER SCI LTD2023

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Renforcement

Additively manufactured steel reinforcement for small scale reinforced concrete modeling: Tensile and bond behavior

Simulating intra-household interactions for in- and out-of-home activity scheduling

Simulating intra-household interactions for in- and out-of-home activity scheduling

Mechanisms underlying reinforcement learning of motor skills

Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges

On the role of energy infrastructure in the energy transition. Case study of an energy independent and CO2 neutral energy system for Switzerland

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

A striatal circuit balances learned fear in the presence and absence of sensory cues

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Graph Chatbot

Chattez avec Graph Search

Simulating intra-household interactions for in- and out-of-home activity scheduling

Mechanisms underlying reinforcement learning of motor skills

On the role of energy infrastructure in the energy transition. Case study of an energy independent and CO2 neutral energy system for Switzerland

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges

Simulating intra-household interactions for in- and out-of-home activity scheduling

Additively manufactured steel reinforcement for small scale reinforced concrete modeling: Tensile and bond behavior

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

A striatal circuit balances learned fear in the presence and absence of sensory cues

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