Adam D. Tupper

aff. LVSN, IID, Mila.

Laboratoire de Vision et Systèmes Numériques

Pavillon Adrien-Pouliot

1065, ave de la Médecine

Québec (Québec) G1V 0A6

G’day! I’m Adam, a doctoral student in machine learning at Université Laval in Québec, Canada. I’m passionate about fundamental research and practical applications in artificial intelligence and machine learning. My current research is focused on representation and multi-task learning, under the supervision of Prof. Christian Gagné. I’m a member of the Institut intelligence et données (IID) and Mila.

Prior to coming to ULaval, I worked as a machine learning engineer for LHP Partners Ltd, a Wellington-based AI consultancy start-up. I received my M.Sc. degree from the University of Canterbuy in computer science. My thesis was written on evolutionary reinforcement learning for vision-based general video game playing, under the supervision of Kourosh Neshatian. I also receieved my B.Sc. from UC in computer science and statistics. Addtionally, I have interned at various different companys, such as Xero and Orion Health.

From here, you can learn more about me, or checkout my recent projects and publications!


May 9, 2021 New website redesign! :fire:
Jan 18, 2021 I’ve moved to Canada to start my PhD at Université Laval 🇨🇦
Dec 18, 2020 Graduated with my MSc (with distinction) from the University Canterbury 🎓

Selected publications

  1. IVCNZ
    Evaluating Learned State Representations for Atari
    Tupper, Adam, and Neshatian, Kourosh
    In 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ) 2020
  2. GECCO
    Evolving Neural Network Agents to Play Atari Games with Compact State Representations
    Tupper, Adam, and Neshatian, Kourosh
    In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion 2020