I am an Applied Research Scientist at Element AI. Previously I was a postdoctoral fellow at the University of Toronto after having completed my PhD in Computing Science at the University of Alberta.  I am interested in artificial intelligence, particularly in the areas of automated planning, heuristic search, knowledge representation, reinforcement learning, and game-playing agents. See the links to the left for a list of publications.

Contact me at x@cs.toronto.edu where x=rvalenzano (ie. replace "x" with "rvalenzano" without the quotation marks). Try and grab that email address, you meddling spambots.

You can also find me on LinkedIn.

News


February 10, 2019 - Teaching a course on Reinforcement Learning for the Queen's Master of Management in AI Program.

December 11, 2019 - Paper appearing at NeurIPS on learning and exploiting reward machines.

October 7, 2019 - Presented the DeepStack paper to the AI Socratic Circles meetup.

August 19, 2019 - Giving a talk at Amii on our project at Element AI, and work with colleagues at UofT.

August 13, 2019 - Paper appearing at IJCAI on using formal languages for RL task specification.