Moving AI Lab
The Moving AI Lab is run by Dr. Nathan Sturtevant at the University of Alberta.
This is a list of current and past students who have worked in the lab:
Ongoing
University of Alberta, PhD
- Chris Solinas (co-supervised with Michael Buro)
- Junwen Shen
- Isaac Stone (co-supervised with Jonathan Schaeffer)
University of Alberta, MSc
- Churong Yu
- Orion Sehn, Industrial Cable Routing
- Nicolas Ong, Improving Alpha-Zero
- Samiha Bintenay, Modeling Human Players on Puzzles
Research Associates
- Ehsan Futuhi, ML for Heuristic Search
Visitors
Past/Graduated
University of Alberta, PhD
- Kristen Yu, Quests in Games (co-supervised with Matthew Guzdial)
- Jingwei Chen, Bidirectional and Suboptimal Search
- Chris Rayner, Optimization For Heuristic Search (co-supervised with Michael Bowling)
- Rick Valenzano, Design Decisions In Suboptimal Heuristic Search-Based Systems (co-supervised with Jonathan Schaeffer)
University of Alberta, MSc
- Isaac Sstone, Setrograde Analysis: a Set-Based Approach to Fast Retrograde Computation and Compact Data Representation
- Mohammadreza Hami, Dynamic Suboptimality Weighted A*
- Junwen Shen Entropy for Puzzle Design
- Yazeed Mahmoud End-to-end Game Design Using EPCG
- Faisal Abutarab, A Study of Orthogonality in The Witness
- Sepehr Mohammad Lavasani, Anchor Search: A Unified Framework for Unbounded Bidirectional Search
- Bigyan Karki, Evaluating AlphaZero in a Strongly Solved Game
- Shaoyu Tang, Suboptimal Unidirectional Search
- Debraj Ray, Navigation in Adversarial Environments Guided by PRA* and a Local RL Planner
- Eugene Chen, Entropy as a Measure of Puzzle Difficulty
- Reza Mashayekhi, Analyzing and Improving the FastMap Embedding
- Aaron (Tianhua) Li, Machine Learning Admissible Heuristics
- Yourui Guo, Sound Relaxation: Soundscape Exploration using Reinforcement Learning (co-supervised with Abram Hindle)
- Shutong Li, Angry Birds Level Generation
- Adam Metcalf, Pinball: High-Speed Real-Time Tracking and Playing (co-supervised with Jonathan Schaeffer)
- Mokhtar Khorshid, A Polynomial Time Algorithm for Multi-Agent Path Planning (co-supervised with Robert Holte)
- Mesut Kirci, Feature Learning Using State Differences (co-supervised with Jonathan Schaeffer)
- Richard Valenzano, Simultaneously Searching With Multiple Algorithm Settings: An Alternative To Parameter Tuning For Suboptimal Single-Agent Search (co-supervised with Jonathan Schaeffer)
- Carsten Moldenhauer, Game Tree Search Algorithms For The Game Of Cops And Robber
- Mohammad Shafiei, Simultaneous Move Games In General Game Playing (co-supervised with Jonathan Schaeffer)
- Renee Jansen, Multi-Agent Pathfinding with Direction Maps
- Zhifu Zhang, Single-Agent Search with Admissible Inconsistent Heuristics (co-supervised with Jonathan Schaeffer)
University of Denver, PhD
- Thayne Walker, Multi-Agent Path Planning
University of Denver, MSc
- Kristen Yu, Fighting Game AI
- Sneha Salwani, Understaning Bidirectional Search Performance on Road Networks
- Amanda Kirk, Altering Keyboard Layout for Improved Auto-Correct
- Aaron Kraft, Abstraction Hierarchies for Multi-Agent Pathfinding
- Sally Li, Improved Grid-Based Path Planning
- Raheem T. Al Rammahi, Optimizing Vehicle Usage using CSP, SAT and MAX-SAT
Past Visitors
- Lior Siag, visiting PhD Student,
Ben Gurion University, External Memory Bidirectional Search
- Sumedh Pendurkar, vising PhD student,
Texas A & M, Bootstrap Learning Algorithms
- Jasmeet Kaur, Improved Budgeted Graph Search
- Nicolas Decroocq, visiting MSc student,
Saint-Cyr, France,
Incremental application of Exhaustive PCG
- Shuli Hu, visiting PhD Student,
Northeast Normal University, China,
External Memory Search
- Guni Sharon, visiting PhD Student,
Ben Gurion University,
Multi-Agent Pathfinding; Real-Time Heuristic Search
Other interns
- Maddy Ludes, Towers of Hanoi Demo
- Ryan Cooper, Efficient Heuristic Rankings
- Ruimin Chen, ML Heuristic Learning
- Carolyn Yang, Snakebird Editor
- Marcus Kim, Rubik's Cube Heuristics
- Aaron Tripodi, Snakebird