This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Odometry and backtracking: social and individual navigation in group foraging desert harvester ants (Veromessor pergandei).
Animal cognition · 2019
Practice makes proficient: pigeons (Columba livia) learn efficient routes on full-circuit navigational traveling salesperson problems.
Animal cognition · 2015
Not all locations are created equal: exploring how adults hide and search for objects.
PloS one · 2012
Latest funding
- $246,000
Real-time Heuristic Search for Cooperative and Explainable Autonomous Agents
NSERC · 2019 · Principal investigator
- $195,000
Interactive Storytelling and Real-time Heuristic Search
NSERC · 2014 · Principal investigator
- $175,000
Real-time Heuristic search and player modeling
NSERC · 2009 · Principal investigator
3 publications.
Odometry and backtracking: social and individual navigation in group foraging desert harvester ants (Veromessor pergandei).
Plowes N, Du Y, Congdon JV, Bulitko V, Soares ES, Spetch ML
Practice makes proficient: pigeons (Columba livia) learn efficient routes on full-circuit navigational traveling salesperson problems.
Baron DM, Ramirez AJ, Bulitko V, Madan CR, Greiner A, Hurd PL, Spetch ML
Not all locations are created equal: exploring how adults hide and search for objects.
Legge EL, Spetch ML, Cenkner A, Bulitko V, Anderson C, Brown M, Heth D
Real-time Heuristic Search for Cooperative and Explainable Autonomous Agents
Principal investigators: Bulitko, Vadim
Keywords: agent-centered search; artificial life; autonomous agents; deep learning; machine learning; real-time heuristic search
Interactive Storytelling and Real-time Heuristic Search
Principal investigators: Bulitko, Vadim
Real-time Heuristic search and player modeling
Principal investigators: Bulitko, Vadim
Reinforcement learning for image interpretation and control in real time heuristic search
Principal investigators: Bulitko, Vadim
Reinforcement learning for image interpretation and control in real-time heuristic search
Principal investigators: Bulitko, Vadim
Inductive learning for adaptive control policies
Principal investigators: Bulitko, Vadim
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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