Pier Giuseppe Sessa

Orcid: 0000-0001-8986-8815

According to our database1, Pier Giuseppe Sessa authored at least 24 papers between 2016 and 2023.

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Bibliography

2023
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games.
IEEE Robotics Autom. Lett., April, 2023

DockGame: Cooperative Games for Multimeric Rigid Protein Docking.
CoRR, 2023

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces.
CoRR, 2023

Model-based Causal Bayesian Optimization.
CoRR, 2023

Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Learning and Efficiency in Multi-Agent Systems.
PhD thesis, 2022

Boosting Search Engines with Interactive Agents.
Trans. Mach. Learn. Res., 2022

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation.
Proceedings of the International Conference on Machine Learning, 2022

2021
A hybrid stochastic approach for offline train trajectory reconstruction.
Public Transp., 2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Filtering approaches for online train motion estimation with onboard power measurements.
Comput. Aided Civ. Infrastructure Eng., 2020

Learning to Play Sequential Games versus Unknown Opponents.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contextual Games: Multi-Agent Learning with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed Strategies for Robust Optimization of Unknown Objectives.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Designing Coalition-Proof Reverse Auctions Over Continuous Goods.
IEEE Trans. Autom. Control., 2019

No-Regret Learning from Partially Observed Data in Repeated Auctions.
CoRR, 2019

Exploiting structure of chance constrained programs via submodularity.
Autom., 2019

No-Regret Learning in Unknown Games with Correlated Payoffs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

From Uncertainty Data to Robust Policies for Temporal Logic Planning.
Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

2017
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems.
CoRR, 2017

2016
Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets.
CoRR, 2016


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