We are excited to announce that Aamal Hussain, Luke Thorburn, Patrick Henriksen and Nathan Gavenski have had papers accepted to three of the leading conferences on research in AI: IJCAI 2023, ICML 2023 and IJCNN 2023.
The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023):
Aamal Hussain, Francesco Belardinelli, Georgios Piliouras; Beyond Strict Competition: Approximate Convergence of Multi Agent Q-Learning Dynamics.
Luke Thorburn, Maria Polukarov, Carmine Ventre; Error in the Euclidean Preference Model.
The 40th International Conference on Machine Learning (ICML 2023):
Aamal Hussain, Francesco Belardinelli, Dario Paccagnan; The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics.
International Joint Conference on Neural Networks (IJCNN 2023):
Francesco Leofante (joint 1st author), Patrick Henriksen (joint 1st author), Alessio Lomuscio; Verification-friendly Networks: the Case for Parametric ReLUs.
Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo Coelho Barros; Self-Supervised Adversarial Imitation Learning.
Attending conferences is an integral part of STAI CDT students’ PhD experiences and offers opportunities to form global connections with peers and experts, develop further knowledge and expand professional networks.
Huge congratulations to Aamal, Luke, Patrick and Nathan! We look forward to hearing how the conferences go.