I am an Assistant Professor at Ryerson University. Previously I was an Applied Research Scientist at Element AI. I am interested in artificial intelligence, particularly in the areas of automated planning, heuristic search, knowledge representation, reinforcement learning, and game-playing agents.

Contact me at x@ryerson.ca where x=rick.valenzano (ie. replace "x" with "rick.valenzano" without the quotation marks). Try and grab that email address, you meddling spambots.

You can also find me on LinkedIn.


January 2022 - Teaching a first-year class at Ryerson University

January 2022 - Teaching a grad class on Heuristic Search at Ryerson University

January 2022 - Paper on Reward Machines published in JAIR

August 2021 - Paper appearing at IJCAI on incorporating random exploration into bounded suboptimal search

January 2021 - Starting as an Assistant Professor at Ryerson University

February 2020 - Teaching a course on Reinforcement Learning for the Queen's Master of Management in AI Program.

December 2019 - Paper appearing at NeurIPS on learning and exploiting reward machines.

October 2019 - Presented the DeepStack paper to the AI Socratic Circles meetup.

August 2019 - Giving a talk at Amii on our project at Element AI, and work with colleagues at UofT.

August 2019 - Paper appearing at IJCAI on using formal languages for RL task specification.