Pier Giuseppe Sessa | DeepAI

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∙ 09/05/2023

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Three major challenges in reinforcement learning are the complex dynamic...

0 Shyam Sundhar Ramesh, et al. ∙

∙ 08/03/2023

Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning

Multitask learning is a powerful framework that enables one to simultane...

0 Pier Giuseppe Sessa, et al. ∙

∙ 07/31/2023

Adversarial Causal Bayesian Optimization

In Causal Bayesian Optimization (CBO), an agent intervenes on an unknown...

0 Scott Sussex, et al. ∙

∙ 10/24/2022

How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games

We consider the interaction among agents engaging in a driving task and ...

0 Alessandro Zanardi, et al. ∙

∙ 10/14/2022

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems

Contextual Bayesian optimization (CBO) is a powerful framework for seque...

0 Shyam Sundhar Ramesh, et al. ∙

∙ 03/14/2022

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

We consider model-based multi-agent reinforcement learning, where the en...

0 Pier Giuseppe Sessa, et al. ∙

∙ 07/13/2021

Contextual Games: Multi-Agent Learning with Side Information

We formulate the novel class of contextual games, a type of repeated gam...

10 Pier Giuseppe Sessa, et al. ∙

∙ 07/10/2020

Learning to Play Sequential Games versus Unknown Opponents

We consider a repeated sequential game between a learner, who plays firs...

0 Pier Giuseppe Sessa, et al. ∙

∙ 02/28/2020

Mixed Strategies for Robust Optimization of Unknown Objectives

We consider robust optimization problems, where the goal is to optimize ...

8 Pier Giuseppe Sessa, et al. ∙

∙ 12/20/2019

No-Regret Learning from Partially Observed Data in Repeated Auctions

We study a general class of repeated auctions, such as the ones found in...

0 Orcun Karaca, et al. ∙

∙ 09/18/2019

No-Regret Learning in Unknown Games with Correlated Payoffs

We consider the problem of learning to play a repeated multi-agent game ...

33 Pier Giuseppe Sessa, et al. ∙

∙ 03/03/2019

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature

Games with continuous strategy sets arise in several machine learning pr...

0 Pier Giuseppe Sessa, et al. ∙

∙ 11/17/2017

Designing Coalition-Proof Reverse Auctions over Continuous Goods

This paper investigates reverse auctions that involve continuous values ...

0 Orcun Karaca, et al. ∙

∙ 11/17/2017

Designing Coalition-Proof Mechanisms for Auctions over Continuous Goods

This paper investigates reverse auctions that involve continuous values ...

0 Orcun Karaca, et al. ∙

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