Travelled to:
1 × Canada
Collaborated with:
∅ Michael Buro M. Renee Jansen Robert Geisberger Matheus Jun Ota Kristen Yu Greg Ashe J.Kim M.Lanctot Mark H. M. Winands Tom Pepels Devon Sigurdson Bjorn Taylor Tim Gibson Douglas Rebstock Christopher Solinas B.Póczos Y.Abbasi-Yadkori C.Szepesvári R.Greiner Daniel Wong 0001 Darren Earl Fred Zyda Ryan Zink S.Koenig Allen Pan Selby Shlosberg J.Singh Matthew Church Eric Graves 0002 Jason Duncan Adel Lari Robin Miller Neesha Desai Richard Zhao M.Carbonaro J.Schaeffer D.Szafron Jeff Orkin Robert Zubek Michael Cook 0001 Stephen G. Ware Christian Stith Robert Michael Young Phillip Wright Squirrel (Brian) Eiserloh Alejandro Ramirez-Sanabria Vadim Bulitko Kieran Lord
Talks about:
pathfind (6) abstract (3) game (3) exhaust (2) machin (2) applic (2) learn (2) dynam (2) use (2) map (2)
Person: Nathan R. Sturtevant
DBLP: Sturtevant:Nathan_R=
Contributed to:
Wrote 17 papers:
- ICML-2009-PoczosASGS #exclamation #learning
- Learning when to stop thinking and do something! (BP, YAY, CS, RG, NRS), pp. 825–832.
- AIIDE-2006-SturtevantB #abstraction #collaboration #using
- Improving Collaborative Pathfinding Using Map Abstraction (NRS, MB), pp. 80–85.
- AIIDE-2007-Sturtevant #abstraction
- Memory-Efficient Abstractions for Pathfinding (NRS), pp. 31–36.
- AIIDE-2008-JansenS
- Direction Maps for Cooperative Pathfinding (MRJ, NRS).
- AIIDE-2009-Sturtevant #optimisation
- Optimizing Motion-Constrained Pathfinding (NRS).
- AIIDE-2010-SturtevantG #comparison
- A Comparison of High-Level Approaches for Speeding Up Pathfinding (NRS, RG).
- FDG-2010-WongEZZKPSSS #game studies #implementation
- Implementing games on pinball machines (DW0, DE, FZ, RZ, SK, AP, SS, JS, NRS), pp. 240–247.
- AIIDE-2011-ChurchGDLMDZCSSS
- A Demonstration of ScriptEase II (MC, EG0, JD, AL, RM, ND, RZ, MC, JS, NRS, DS).
- AIIDE-2011-Sturtevant #3d #grid #representation
- A Sparse Grid Representation for Dynamic Three-Dimensional Worlds (NRS).
- CIG-2011-AsheSK #data mining #machine learning #mining #named
- Keynotes: Data mining and machine learning applications in MMOs (GA, NRS, JHK).
- AIIDE-2013-Sturtevant
- Incorporating Human Relationships Into Path Planning (NRS).
- AIIDE-2014-SturtevantOZCWSYWERBL #case study #experience
- Playable Experiences at AIIDE 2014 (NRS, JO, RZ, MC0, SGW, CS, RMY, PW, S(E, ARS, VB, KL).
- CIG-2014-LanctotWPS #heuristic #monte carlo #using
- Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups (ML, MHMW, TP, NRS), pp. 1–8.
- AIIDE-2018-SturtevantO #generative
- Exhaustive and Semi-Exhaustive Procedural Content Generation (NRS, MJO), pp. 109–115.
- AIIDE-2019-SturtevantSTG #abstraction
- Pathfinding and Abstraction with Dynamic Terrain Costs (NRS, DS, BT, TG), pp. 80–86.
- CoG-2019-RebstockSBS #game studies #policy
- Policy Based Inference in Trick-Taking Card Games (DR, CS, MB, NRS), pp. 1–8.
- CoG-2019-YuS #analysis #game studies
- Application of Retrograde Analysis on Fighting Games (KY, NRS), pp. 1–8.