Economics and Artificial Intelligence 

• Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
  with  Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Amy Greenwald, Vincent Li,  and David C. Parkes
  in arXiv:2210.03852, November 2023.
  Previous version appeared in Workshop for Reinforcement Learning Theory at ICML 2021.

• Learning to Mitigate AI Collusion on Economic Platforms
  with Eric Mibuari, Nicolas Lepore, and David C. Parkes
  in Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems, New Orleans (LA), USA, November 2022.
  Also appeared in Workshop on Learning with Strategic Agents at AAMAS 2022 and Black in AI Workshop at NeurIPS 2022.

• iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
  Benjamin Lubin, Sven Seuken, Manuel Beyeler, and Gianluca Brero
  in arXiv:2009.13605, August 2021 (supersedes the EC'21 version below).

• iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
  Manuel Beyeler, Gianluca Brero, Benjamin Lubin, and Sven Seuken
  in Proceedings of the Twenty-second ACM Conference on Economics and Computation, Budapest, Hungary, July 2021.

• Reinforcement Learning of Sequential Price Mechanisms
  with  Alon Eden, Matthias Gerstgrasser, David C. Parkes, and Duncan Rheingans-Yoo (alphabetical)
  in Proceedings of the Thirty-fifth AAAI Conference of Artificial Intelligence, virtual conference, February 2021.
  Also appeared in ML for Economic Policy Workshop at NeurIPS 2020. 

• Machine Learning-powered Iterative Combinatorial Auctions
  with Benjamin Lubin and Sven Seuken (alphabetical)
  in arXiv:1911.08042, September 2021.

• Machine Learning-powered Iterative Combinatorial Auctions  (PhD Thesis)
  PhD Thesis, April 2020.

• Fast Iterative Combinatorial Auctions via Bayesian Learning
  with Sébastien Lahaie and Sven Seuken
  in Proceedings of the Thirty-third AAAI Conference of Artificial Intelligence, Honolulu, USA, January 2019.

• Combinatorial Auctions via Machine Learning-based Preference Elicitation
  with Benjamin Lubin and Sven Seuken
  in Proceedings of the Twenty-seventh International Joint Conference on Artificial Intelligence and the Twenty-third European Conference on Artificial Intelligence, Stockholm, Sweden, July 2018.

• A Bayesian Clearing Mechanism for Combinatorial Auctions
  with Sébastien Lahaie
  in Proceedings of the Thirty-second AAAI Conference of Artificial Intelligence, New Orleans, USA, February 2018.

• Probably Approximately Efficient Combinatorial Auctions via Machine Learning
  with Benjamin Lubin and Sven Seuken
  in Proceedings of the Thirty-first AAAI Conference of Artificial Intelligence, San Francisco, USA, February 2017.

• Dynamics in Network Games with Local Coordination and Global Congestion Effects
  with Giacomo Como and Fabio Fagnani
  in Proceedings of the Fifty-third IEEE Conference on Decision and Control, Los Angeles, USA, December 2014.

Chemistry Education

• HaptiChem: Haptic and Visual Support in Interactions with the Microscopic World
  Elisa Magnanelli*, Gianluca Brero, Rosa Virginia Espinoza Garnier, Giacomo Mazzoletti, Alessandro Maria Rizzi, and Sara Comai
  in Proceedings of the International Conference on Learning and Collaboration Technologies, Heraklion, Greece, June 2014.