Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting. - Sai Krishna G. V.; Kyle Goyette; Ahmad Chamseddine; Breandan Considine (CoRR, 2018)

Multi-objective training of Generative Adversarial Networks with multiple discriminators. - Isabela Albuquerque; João Monteiro 002; Thang Doan; Breandan Considine; Tiago H. Falk; Ioannis Mitliagkas (ICML, 2019)

The AI Driving Olympics at NeurIPS 2018. - Julian G. Zilly; Jacopo Tani; Breandan Considine; Bhairav Mehta; Andrea F. Daniele; Manfred Diaz; Gianmarco Bernasconi; Claudio Ruch; Jan Hakenberg; Florian Golemo; A. Kirsten Bowser; Matthew R. Walter; et al. (CoRR, 2019)

gradSim: Differentiable simulation for system identification and visuomotor control. - J. Krishna Murthy 001; Miles Macklin; Florian Golemo; Vikram Voleti; Linda Petrini; Martin Weiss; Breandan Considine; Jérôme Parent-Lévesque; Kevin Xie; Kenny Erleben; Liam Paull; Florian Shkurti; et al. (ICLR, 2021)

Idiolect: A Reconfigurable Voice Coding Assistant. - Breandan Considine; Nicholas Albion; Xujie Si (BotSE, 2023)

A Pragmatic Approach to Syntax Repair. - Breandan Considine (SPLASH Companion, 2023)

A Tree Sampler for Bounded Context-Free Languages. - Breandan Considine (CoRR, 2024)

Syntax Repair as Language Intersection. - Breandan Considine (CoRR, 2025)