Publications related to A comparison of Nash equilibria analysis and agent-based modelling for power markets

Impact of Redundancy on Resilience in Distributed Optimization and Learning

This paper considers the problem of resilient distributed optimization and stochastic learning in a server-based architecture. The system comprises a server and multiple agents, where each agent has its own local cost function. The agents collaborate with ...

New York2023

Partial Information Sharing Over Social Learning Networks

Ali H. Sayed, Virginia Bordignon

This work addresses the problem of sharing partial information within social learning strategies. In social learning, agents solve a distributed multiple hypothesis testing problem by performing two operations at each instant: first, agents incorporate inf ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Vaios Papaspyros

As the field of ethology advances, especially over the past two decades, the role of animal-robot interaction tools has increasingly become essential. This importance arises from the need for controlled, repetitive, repeatable, and long-duration experiment ...

EPFL2023

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Gabriel Rémi Vallat

In this master thesis, multi-agent reinforcement learning is used to teach robots to build a self-supporting structure connecting two points. To accomplish this task, a physics simulator is first designed using linear programming. Then, the task of buildin ...

2023

Discovering Influencers in Opinion Formation Over Social Graphs

Ali H. Sayed, Mert Kayaalp, Valentina Shumovskaia, Mert Cemri

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Nikolaos Geroliminis, Nils Gustav Nilsson, Marko Maljkovic

Due to the ever-increasing popularity of ride-hailing services and the indisputable shift towards alternative fuel vehicles, the intersection of the ride-hailing market and smart electric mobility provides an opportunity to trade different services to achi ...

2023

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Ali H. Sayed, Virginia Bordignon, Stefan Vlaski

This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and arising from possibly different distributions. In the context of social learning ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

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

Alternation makes the adversary weaker in two-player games

Volkan Cevher, Efstratios Panteleimon Skoulakis, Luca Viano, Ali Kavis

Motivated by alternating game-play in two-player games, we study an altenating variant of the Online Linear Optimization (OLO). In alternating OLO, a learner at each round t ∈[n] selects a vector xt and then an adversary selects a cost-vector ct ∈[−1,1]n. ...

2023

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

A comparison of Nash equilibria analysis and agent-based modelling for power markets

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Impact of Redundancy on Resilience in Distributed Optimization and Learning

Partial Information Sharing Over Social Learning Networks

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Discovering Influencers in Opinion Formation Over Social Graphs

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

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

Alternation makes the adversary weaker in two-player games

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

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

Alternation makes the adversary weaker in two-player games

Discovering Influencers in Opinion Formation Over Social Graphs

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Partial Information Sharing Over Social Learning Networks