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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
December 11, 2019 - Paper appearing at NeurIPS on learning and exploiting reward machines.
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
November 9, 2018 - Final version of an AIJ paper on Probably Suboptimal Search is now available.
August 28, 2018 - Presenting paper on Reward Machines at the Montreal AI Symposium.
May 11, 2018 - Paper accepted at ICML 2018 on using finite state automata to specify reward functions in RL.
February 14, 2018 - Paper accepted at Canadian AI 2018 on using temporal logic to provide advice to an RL agent.
January 24, 2018 - Paper accepted at AAMAS 2018 on using temporal logic for specifying multiple tasks for an RL agent.
January 8, 2018 - Started working as an Applied Research Scientist at Element AI. |
