Tacchetti, Andrea

15 publications

ICLR 2024 Generative Adversarial Equilibrium Solvers Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti

TMLR 2024 Rethinking Teacher-Student Curriculum Learning Through the Cooperative Mechanics of Experience Manfred Diaz, Liam Paull, Andrea Tacchetti

NeurIPSW 2023 Language Agents as Digital Representatives in Collective Decision-Making Daniel Jarrett, Miruna Pislar, Michiel A. Bakker, Michael Henry Tessler, Raphael Koster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti

NeurIPSW 2023 Rethinking Teacher-Student Curriculum Learning Under the Cooperative Mechanics of Experience Manfred Diaz, Liam Paull, Andrea Tacchetti

ICLRW 2022 HCMD-Zero: Learning Value Aligned Mechanisms from Data Jan Balaguer, Raphael Koster, Ari Weinstein, Lucy Campbell-Gillingham, Christopher Summerfield, Matthew Botvinick, Andrea Tacchetti

ICLRW 2022 Learning Truthful, Efficient, and Welfare Maximizing Auction Rules Andrea Tacchetti, Dj Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach

ICLRW 2022 Teamwork Reinforcement Learning with Concave Utilities Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp

ICLRW 2022 The Good Shepherd: An Oracle Agent for Mechanism Design Jan Balaguer, Raphael Koster, Christopher Summerfield, Andrea Tacchetti

NeurIPS 2022 Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

JAIR 2021 Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach

NeurIPS 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Perolat, Richard Everett, Satinder P. Singh, Thore Graepel, Yoram Bachrach

ICLR 2019 Relational Forward Models for Multi-Agent Learning Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinicius Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia

NeurIPS 2018 Trading Robust Representations for Sample Complexity Through Self-Supervised Visual Experience Andrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos

NeurIPS 2017 Visual Interaction Networks: Learning a Physics Simulator from Video Nicholas Watters, Daniel Zoran, Theophane Weber, Peter Battaglia, Razvan Pascanu, Andrea Tacchetti

MLOSS 2013 GURLS: A Least Squares Library for Supervised Learning Andrea Tacchetti, Pavan K. Mallapragada, Matteo Santoro, Lorenzo Rosasco