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2020 – today
- 2023
[j6]Alessandro Zanardi
, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. IEEE Robotics Autom. Lett. 8(4): 2293-2300 (2023)- [i15]Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause:
Model-based Causal Bayesian Optimization. CoRR abs/2307.16625 (2023) - [i14]Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause:
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR abs/2308.01744 (2023) - [i13]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic:
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR abs/2309.02236 (2023) - [i12]Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause:
DockGame: Cooperative Games for Multimeric Rigid Protein Docking. CoRR abs/2310.06177 (2023) - 2022
- [b1]Pier Giuseppe Sessa:
Learning and Efficiency in Multi-Agent Systems. ETH Zurich, Zürich, Switzerland, 2022 - [j5]Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain:
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022) - [c10]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML 2022: 19580-19597 - [c9]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS 2022 - [i11]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR abs/2203.07322 (2022) - [i10]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR abs/2210.08087 (2022) - [i9]Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. CoRR abs/2210.13064 (2022) - 2021
- [j4]Pier Giuseppe Sessa, Valerio De Martinis, Axel Bomhauer-Beins, Ulrich Alois Weidmann, Francesco Corman:
A hybrid stochastic approach for offline train trajectory reconstruction. Public Transp. 13(3): 675-698 (2021) - [c8]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML 2021: 9455-9464 - [i8]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. CoRR abs/2107.06327 (2021) - 2020
- [j3]Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman:
Filtering approaches for online train motion estimation with onboard power measurements. Comput. Aided Civ. Infrastructure Eng. 35(5): 415-429 (2020) - [c7]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS 2020: 2970-2980 - [c6]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS 2020 - [c5]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS 2020 - [i7]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR abs/2002.12613 (2020) - [i6]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. CoRR abs/2007.05271 (2020)
2010 – 2019
- 2019
- [j2]Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour:
Exploiting structure of chance constrained programs via submodularity. Autom. 105: 89-95 (2019) - [j1]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. 64(11): 4803-4810 (2019) - [c4]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS 2019: 2017-2027 - [c3]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS 2019: 13602-13611 - [i5]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR abs/1903.00950 (2019) - [i4]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR abs/1909.08540 (2019) - [i3]Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour:
No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR abs/1912.09905 (2019) - 2018
- [c2]Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour:
From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC 2018: 157-166 - [c1]Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman:
A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. ITSC 2018: 2297-2302 - 2017
- [i2]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR abs/1711.06774 (2017) - 2016
- [i1]Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR abs/1611.03044 (2016)
Coauthor Index
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last updated on 2023-10-25 20:09 CEST by the dblp team
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