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ORCIDVadim Bulitko
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
[c93]Adi Botea, Vadim Bulitko:
Extended Seeds in Optimization Crosswords. CoG 2024: 1-8- [c92]Paul Saunders, Vadim Bulitko, Simona Ondrcková, Roman Barták:
Formula- and Memory-based Heuristics In Video-game Pathfinding. CoG 2024: 1-4 - [c91]Shuwei Wang, Vadim Bulitko, William Yeoh:
Explaining Synthesized Pathfinding Heuristics via Iterative Visualization and Modification. CoG 2024: 1-4 - 2023
- [c90]Shuwei Wang, Vadim Bulitko, Taoan Huang, Sven Koenig, Roni Stern:
Synthesizing Priority Planning Formulae for Multi-Agent Pathfinding. AIIDE 2023: 360-369 - [c89]Adi Botea, Vadim Bulitko:
Generating and Solving Champion-Level Romanian Crosswords Puzzles. CoG 2023: 1-4 - [c88]Vadim Bulitko, Ramon Lawrence:
Game-map Pathfinding with Per-Problem Selection of Synthesized Heuristics. CoG 2023: 1-4 - [c87]Adi Botea, Vadim Bulitko:
Core Expansion in Optimization Crosswords. SOCS 2023: 2-10 - [i10]Justin Stevens, Vadim Bulitko, David Thue:
Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate. CoRR abs/2308.02666 (2023) - 2022
- [c86]Adi Botea, Vadim Bulitko:
Tiered State Expansion in Optimization Crosswords. AIIDE 2022: 79-86 - [c85]Vadim Bulitko, Shuwei Wang, Justin Stevens, Levi H. S. Lelis:
Portability and Explainability of Synthesized Formula-based Heuristics. SOCS 2022: 29-37 - 2021
- [c84]Vadim Bulitko, Adi Botea:
Evolving Romanian Crossword Puzzles with Deep Learning and Heuristic Search. CoG 2021: 1-5 - [c83]Vadim Bulitko, Sergio Poo Hernandez, Levi H. S. Lelis:
Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding. CoG 2021: 1-5 - [c82]Adi Botea, Vadim Bulitko:
Scaling Up Search with Partial Initial States in Optimization Crosswords. SOCS 2021: 20-27 - [c81]Sergio Poo Hernandez, Vadim Bulitko:
Speeding Up Heuristic Function Synthesis via Extending the Formula Grammar. SOCS 2021: 233-235 - 2020
- [c80]Vadim Bulitko:
Evolving Initial Heuristic Functions for Agent-Centered Heuristic Search. CoG 2020: 534-541
2010 – 2019
- 2019
- [c79]Dylan R. Ashley
, Valliappa Chockalingam, Braedy Kuzma, Vadim Bulitko:
Learning to Select Mates in Evolving Non-playable Characters. CoG 2019: 1-8 - [c78]Joshua Sirota, Vadim Bulitko, Matthew R. G. Brown, Sergio Poo Hernandez:
Towards Procedurally Generated Languages for Non-playable Characters in Video Games. CoG 2019: 1-4 - [c77]Everton Schumacker Soares, Vadim Bulitko:
Deep Variational Autoencoders for NPC Behaviour Classification. CoG 2019: 1-4 - [c76]Dylan R. Ashley, Valliappa Chockalingam, Braedy Kuzma, Vadim Bulitko:
Learning to select mates in artificial life. GECCO (Companion) 2019: 103-104 - [c75]Joshua Sirota, Vadim Bulitko, Matthew R. G. Brown, Sergio Poo Hernandez:
Evolving recurrent neural networks for emergent communication. GECCO (Companion) 2019: 189-190 - [c74]Vadim Bulitko, Kacy Doucet, Daniel Evans, Hope Docking, Mac Walters, Marilene Oliver, Julian Chow, Shelby Carleton, Natali Kendal-Freedman:
A-life Evolution with Human Proxies. ALIFE 2019: 465-466 - [c73]Carlos Hernández Ulloa, Jorge A. Baier, William Yeoh, Vadim Bulitko, Sven Koenig:
A Learning-Based Framework for Memory-Bounded Heuristic Search: First Results. SOCS 2019: 178-179 - [i9]Devon Sigurdson, Vadim Bulitko, Sven Koenig, Carlos Hernández, William Yeoh:
Automatic Algorithm Selection In Multi-agent Pathfinding. CoRR abs/1906.03992 (2019) - 2018
- [c72]Vadim Bulitko, Mac Walters, Matthew R. Brown:
Evolving NPC Behaviours in A-life with Player Proxies. AIIDE Workshops 2018 - [c71]Sergio Poo Hernandez, Vadim Bulitko, Shelby Carleton, Astrid Ensslin, Tejasvi Goorimoorthee:
Deep Learning for Classification of Speech Accents in Video Games. AIIDE Workshops 2018 - [c70]David Thue, Vadim Bulitko:
Toward a Unified Understanding of Experience Management. AIIDE 2018: 130-137 - [c69]Vadim Bulitko, Kacy Doucet:
Anxious Learning in Real-Time Heuristic Search. CIG 2018: 1-4 - [c68]Devon Sigurdson, Vadim Bulitko, William Yeoh, Carlos Hernández, Sven Koenig:
Multi-Agent Pathfinding with Real-Time Heuristic Search. CIG 2018: 1-8 - [e4]Vadim Bulitko, Sabine Storandt:
Proceedings of the Eleventh International Symposium on Combinatorial Search, SOCS 2018, Stockholm, Sweden - 14-15 July 2018. AAAI Press 2018, ISBN 978-1-57735-802-2 [contents] - 2017
- [c67]Vadim Bulitko:
Effects of Self-Knowledge: Once Bitten Twice Shy. AIIDE Workshops 2017 - [c66]Vadim Bulitko, Shelby Carleton, Delia Cormier, Devon Sigurdson, John Simpson:
Towards Positively Surprising Non-Player Characters in Video Games. AIIDE Workshops 2017 - [c65]Astrid Ensslin, Tejasvi Goorimoorthee, Shelby Carleton, Vadim Bulitko, Sergio Poo Hernandez:
Deep Learning for Speech Accent Detection in Videogames. AIIDE Workshops 2017 - [c64]Devon Sigurdson, Vadim Bulitko:
Deep Learning for Real-Time Heuristic Search Algorithm Selection. AIIDE 2017: 108-114 - [c63]Mina Abdi Oskouie, Vadim Bulitko:
Robustness of Real-Time Heuristic Search Algorithms to Read/Write Error in Externally Stored Heuristics. AIIDE 2017: 137-143 - [c62]Carlos Hernández, Adi Botea, Jorge A. Baier, Vadim Bulitko:
Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads. IJCAI 2017: 510-516 - 2016
- [j21]Nathan R. Sturtevant, Vadim Bulitko:
Scrubbing During Learning In Real-time Heuristic Search. J. Artif. Intell. Res. 57: 307-343 (2016) - [c61]Vadim Bulitko:
Per-Map Algorithm Selection in Real-Time Heuristic Search. AIIDE 2016: 143-148 - [c60]Vadim Bulitko:
Evolving Real-time Heuristic Search Algorithms. ALIFE 2016: 108-115 - [c59]Vadim Bulitko, Alexander Sampley:
Weighted Lateral Learning in Real-Time Heuristic Search. SOCS 2016: 10-18 - [c58]Vadim Bulitko:
Searching for Real-Time Heuristic Search Algorithms. SOCS 2016: 121-122 - 2015
- [j20]Alejandro Jose Ramirez, Vadim Bulitko:
Automated Planning and Player Modeling for Interactive Storytelling. IEEE Trans. Comput. Intell. AI Games 7(4): 375-386 (2015) - [c57]Sergio Poo Hernandez, Vadim Bulitko, Marcia Spetch:
Keeping the Player on an Emotional Trajectory in Interactive Storytelling. AIIDE 2015: 65-71 - [c56]Yathirajan Brammadesam Manavalan, Vadim Bulitko, Marcia Spetch:
A Lightweight Algorithm for Procedural Generation of Emotionally Affected Behavior and Appearance. AIIDE 2015: 142-148 - [c55]Thorey Maria Mariusdottir, Vadim Bulitko, Matthew R. Brown:
Maximizing Flow as a Metacontrol in Angband. AIIDE 2015: 149-155 - [c54]Michael Cook, Squirrel Eiserloh, Justus Robertson, Robert Michael Young, Tommy Thompson, David Churchill, Martin Cerný, Sergio Poo Hernandez, Vadim Bulitko:
Playable Experiences at AIIDE 2015. AIIDE 2015: 227- - [i8]Vadim Bulitko, Jessica Hong, Kumar Kumaran, Ivan Swedberg, William Thoang, Patrick von Hauff, Georg Schmolzer:
RETAIN: a Neonatal Resuscitation Trainer Built in an Undergraduate Video-Game Class. CoRR abs/1507.00956 (2015) - 2014
- [j19]Andrew Cenkner, Vadim Bulitko, Marcia Spetch, Eric Legge, Craig G. Anderson, Matthew R. Brown:
Passing a Hide-and-Seek Third-Person Turing Test. IEEE Trans. Comput. Intell. AI Games 6(1): 18-30 (2014) - [j18]Greg Lee, Vadim Bulitko, Elliot A. Ludvig:
Automated Story Selection for Color Commentary in Sports. IEEE Trans. Comput. Intell. AI Games 6(2): 144-155 (2014) - [c53]Sergio Poo Hernandez, Vadim Bulitko, Emilie St. Hilaire:
Emotion-Based Interactive Storytelling with Artificial Intelligence. AIIDE 2014 - [c52]Nathan R. Sturtevant, Jeff Orkin, Robert Zubek, Michael Cook, Stephen G. Ware, Christian Stith, Robert Michael Young, Phillip Wright, Squirrel (Brian) Eiserloh, Alejandro Ramirez-Sanabria, Vadim Bulitko, Kieran Lord:
Playable Experiences at AIIDE 2014. AIIDE 2014 - [c51]Yathirajan Brammadesam Manavalan, Vadim Bulitko:
Appraisal of Emotions from Resources. ICIDS 2014: 224-227 - [c50]Nathan R. Sturtevant, Vadim Bulitko:
Reaching the Goal in Real-Time Heuristic Search: Scrubbing Behavior is Unavoidable. SOCS 2014: 166-174 - [i7]Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence:
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding. CoRR abs/1401.3857 (2014) - [i6]Vadim Bulitko:
Flow for Meta Control. CoRR abs/1407.4709 (2014) - 2013
- [j17]Mark O. Riedl, Vadim Bulitko:
Interactive Narrative: An Intelligent Systems Approach. AI Mag. 34(1): 67-77 (2013) - [j16]Ramon Lawrence, Vadim Bulitko:
Database-Driven Real-Time Heuristic Search in Video-Game Pathfinding. IEEE Trans. Comput. Intell. AI Games 5(3): 227-241 (2013) - [c49]Sergio Poo Hernandez, Vadim Bulitko:
A Call for Emotion Modeling in Interactive Storytelling. Intelligent Narrative Technologies 2013 - [c48]Alejandro Jose Ramirez, Vadim Bulitko, Marcia Spetch:
Evaluating Planning-Based Experience Managers for Agency and Fun in Text-Based Interactive Narrative. AIIDE 2013 - [c47]David Thue, Vadim Bulitko, Howard J. Hamilton:
Implementation Cost and Efficiency for AI Experience Managers. Intelligent Narrative Technologies 2013 - [i5]Daniel Andrew Huntley, Vadim Bulitko:
Search-Space Characterization for Real-time Heuristic Search. CoRR abs/1308.3309 (2013) - 2012
- [j15]Vadim Bulitko, Mark O. Riedl, Arnav Jhala, Michael Buro, Nathan R. Sturtevant:
Recap of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). AI Mag. 33(1): 51-54 (2012) - [c46]Mark O. Riedl, Vadim Bulitko:
Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games. AAAI 2012: 2160-2165 - [c45]Vadim Bulitko, D. Chris Rayner, Ramon Lawrence:
On Case Base Formation in Real-Time Heuristic Search. AIIDE 2012 - [c44]Greg Lee, Vadim Bulitko, Elliot A. Ludvig:
Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative. AIIDE 2012 - [c43]Alejandro Jose Ramirez, Vadim Bulitko:
Telling Interactive Player-specific Stories and Planning for It: ASD + PaSSAGE = PAST. AIIDE 2012 - [c42]David Thue, Vadim Bulitko:
Procedural Game Adaptation: Framing Experience Management as Changing an MDP. INT@AIIDE 2012 - [i4]Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner:
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions. CoRR abs/1206.3233 (2012) - 2011
- [j14]G. Michael Youngblood, Vadim Bulitko, Ben George Weber:
Recap of the 2010 AI and Interactive Digital Entertainment Conference. AI Mag. 32(2): 131-132 (2011) - [c41]Daniel Andrew Huntley, Vadim Bulitko:
Extending the Applications of Recent Real-Time Heuristic Search. AAAI 2011: 1792-1793 - [c40]Andrew Cenkner, Vadim Bulitko, Marcia Spetch:
A Generative Computational Model for Human Hide and Seek Behavior. AIIDE 2011 - [c39]David Thue, Vadim Bulitko, Marcia Spetch, Trevon Romanuik:
A Computational Model of Perceived Agency in Video Games. AIIDE 2011 - [c38]Nathan R. Sturtevant, Vadim Bulitko:
Learning Where You Are Going and from Whence You Came: h- and g-Cost Learning in Real-Time Heuristic Search. IJCAI 2011: 365-370 - [e3]Vadim Bulitko, Mark O. Riedl:
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011, October 10-14, 2011, Stanford, California, USA. The AAAI Press 2011 [contents] - 2010
- [j13]Vadim Bulitko, J. Christopher Beck:
SARA 2009: The Eighth Symposium on Abstraction, Reformulation and Approximation. AI Mag. 31(2): 95-96 (2010) - [j12]David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan:
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31(4): 95-108 (2010) - [j11]Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence:
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding. J. Artif. Intell. Res. 39: 269-300 (2010) - [c37]David Thue, Vadim Bulitko, Marcia Spetch, Michael Webb:
Socially Consistent Characters in Player-Specific Stories. AIIDE 2010 - [c36]Nathan R. Sturtevant, Vadim Bulitko, Yngvi Björnsson:
On learning in agent-centered search. AAMAS 2010: 333-340 - [c35]Ramon Lawrence, Vadim Bulitko:
Taking Learning Out of Real-Time Heuristic Search for Video-Game Pathfinding. Australasian Conference on Artificial Intelligence 2010: 405-414 - [c34]David Thue, Vadim Bulitko, Marcia Spetch, Trevon Romanuik:
Player Agency and the Relevance of Decisions. ICIDS 2010: 210-215 - [c33]Greg Lee, Vadim Bulitko:
Automated Storytelling in Sports: A Rich Domain to Be Explored. ICIDS 2010: 252-255 - [e2]G. Michael Youngblood, Vadim Bulitko:
Proceedings of the Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2010, October 11-13, 2010, Stanford, California, USA. The AAAI Press 2010 [contents]
2000 – 2009
- 2009
- [c32]Vadim Bulitko, Yngvi Björnsson:
kNN LRTA*: Simple Subgoaling for Real-Time Search. AIIDE 2009 - [c31]David Thue, Vadim Bulitko, Marcia Spetch, Michael Webb:
Exaggerated Claims for Interactive Stories. ICIDS 2009: 179-184 - [c30]Yngvi Björnsson, Vadim Bulitko, Nathan R. Sturtevant:
TBA*: Time-Bounded A*. IJCAI 2009: 431-436 - [e1]Vadim Bulitko, J. Christopher Beck:
Eighth Symposium on Abstraction, Reformulation, and Approximation, SARA 2009, Lake Arrowhead, California, USA, 8-10 August 2009. AAAI 2009 [contents] - [i3]Valeriy K. Bulitko, Vadim Bulitko:
On Backtracking in Real-time Heuristic Search. CoRR abs/0912.3228 (2009) - 2008
- [j10]Vadim Bulitko, Mitja Lustrek, Jonathan Schaeffer, Yngvi Björnsson, Sverrir Sigmundarson:
Dynamic Control in Real-Time Heuristic Search. J. Artif. Intell. Res. 32: 419-452 (2008) - [j9]Greg Lee, Vadim Bulitko, Ilya Levner:
HSMM: Heuristic Search with Meta-Models for Image Interpretation. J. Multiple Valued Log. Soft Comput. 14(1-2): 129-144 (2008) - [c29]Vadim Bulitko, Steve Solomon, Jonathan Gratch, Michael van Lent:
Modeling Culturally and Emotionally Affected Behavior. AIIDE 2008 - [c28]Alejandro Isaza, Jieshan Lu, Vadim Bulitko, Russell Greiner:
A Cover-Based Approach to Multi-Agent Moving Target Pursuit. AIIDE 2008 - [c27]David Thue, Vadim Bulitko, Marcia Spetch:
PaSSAGE: A Demonstration of Player Modeling in Interactive Storytelling. AIIDE 2008 - [c26]Stephen Hladky, Vadim Bulitko:
An evaluation of models for predicting opponent positions in first-person shooter video games. CIG 2008: 39-46 - [c25]Mitja Lustrek, Vadim Bulitko:
Thinking Too Much: Pathology in Pathfinding. ECAI 2008: 899-900 - [c24]David Thue, Vadim Bulitko, Marcia Spetch:
Making Stories Player-Specific: Delayed Authoring in Interactive Storytelling. ICIDS 2008: 230-241 - [c23]Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner:
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. UAI 2008: 306-314 - 2007
- [j8]Vadim Bulitko, Nathan R. Sturtevant, Jieshan Lu, Timothy Yau:
Graph Abstraction in Real-time Heuristic Search. J. Artif. Intell. Res. 30: 51-100 (2007) - [j7]Lihong Li, Vadim Bulitko, Russell Greiner:
Focus of Attention in Reinforcement Learning. J. Univers. Comput. Sci. 13(9): 1246-1269 (2007) - [c22]David Thue, Vadim Bulitko, Marcia Spetch, Eric Wasylishen:
Learning Player Preferences to Inform Delayed Authoring. AAAI Fall Symposium: Intelligent Narrative Technologies 2007: 159-162 - [c21]David Thue, Vadim Bulitko, Marcia Spetch, Eric Wasylishen:
Interactive Storytelling: A Player Modelling Approach. AIIDE 2007: 43-48 - [c20]Vadim Bulitko, Yngvi Björnsson, Mitja Lustrek, Jonathan Schaeffer, Sverrir Sigmundarson:
Dynamic Control in Path-Planning with Real-Time Heuristic Search. ICAPS 2007: 49-56 - [c19]Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Paduraru:
Grounding Abstractions in Predictive State Representations. IJCAI 2007: 1077-1082 - [c18]D. Chris Rayner, Katherine Davison, Vadim Bulitko, Kenneth Anderson, Jieshan Lu:
Real-Time Heuristic Search with a Priority Queue. IJCAI 2007: 2372-2377 - [c17]Vadim Bulitko:
State Abstraction in Real-Time Heuristic Search. SARA 2007: 1 - 2006
- [j6]Vadim Bulitko, Greg Lee:
Learning in Real-Time Search: A Unifying Framework. J. Artif. Intell. Res. 25: 119-157 (2006) - [j5]Valeriy K. Bulitko, Burton Voorhees, Vadim Bulitko:
Discrete Baker Transformations for Linear Cellular Automata Analysis. J. Cell. Autom. 1(1): 41-70 (2006) - [j4]Vadim Bulitko, David C. Wilkins:
ML-TIPN: An Algorithm for Automated Acquisition of Domain Models based on Time Interval Petri Nets. J. Multiple Valued Log. Soft Comput. 12(5-6): 391-407 (2006) - [c16]Vadim Bulitko, Mitja Lustrek:
Lookahead Pathology in Real-Time Path-Finding. AAAI 2006 - [c15]David Thue, Vadim Bulitko:
Modeling Goal-Directed Players in Digital Games. AIIDE 2006: 86-91 - [c14]Alborz Geramifard, Pirooz Chubak, Vadim Bulitko:
Biased Cost Pathfinding. AIIDE 2006: 112-114 - [c13]Greg Lee, Vadim Bulitko:
Genetic algorithms for action set selection across domains: a demonstration. GECCO 2006: 1697-1704 - [p1]Ilya Levner, Vadim Bulitko, Guohui Lin:
Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study. Feature Extraction 2006: 607-624 - 2005
- [c12]Vadim Bulitko, Nathan R. Sturtevant, Maryia Kazakevich:
Speeding Up Learning in Real-time Search via Automatic State Abstraction. AAAI 2005: 1349-1354 - [c11]Vadim Bulitko, David C. Wilkins:
Machine Learning for Time Interval Petri Nets. Australian Conference on Artificial Intelligence 2005: 959-965 - [c10]Greg Lee, Vadim Bulitko:
GAMM: genetic algorithms with meta-models for vision. GECCO 2005: 2029-2036 - [c9]Nathan R. Sturtevant, Vadim Bulitko, Michael Buro:
Automatic State Abstraction for Pathfinding in Real-Time Video Games. SARA 2005: 362-364 - [c8]Ilya Levner, Vadim Bulitko:
Comparison of Machine Learned Image Interpretation Systems in the Domain of Forestry. WACV/MOTION 2005: 421-426 - 2004
- [c7]Ilya Levner, Vadim Bulitko:
Machine Learning for Adaptive Image Interpretation. AAAI 2004: 870-876 - [c6]Greg Lee, Vadim Bulitko, Ilya Levner:
Automated selection of vision operator libraries with evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 1127-1134 - [c5]Lihong Li, Vadim Bulitko, Russell Greiner:
Batch Reinforcement Learning with State Importance. ECML 2004: 566-568 - [i2]Vadim Bulitko:
Learning for Adaptive Real-time Search. CoRR cs.AI/0407016 (2004) - 2003
- [j3]Vadim Bulitko, David C. Wilkins:
Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets. Artif. Intell. 144(1-2): 95-124 (2003) - [j2]Valeriy K. Bulitko, Vadim Bulitko:
On existence of complete sets for bounded reducibilities. Math. Log. Q. 49(6): 567-575 (2003) - [c4]Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner:
Towards Automated Creation of Image Interpretation Systems. Australian Conference on Artificial Intelligence 2003: 653-665 - [c3]Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner:
Lookahead Pathologies for Single Agent Search. IJCAI 2003: 1531-1533 - 2002
- [c2]Ilya Levner, Vadim Bulitko, Omid Madani, Russell Greiner:
Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. SARA 2002: 299-307 - 2000
- [b1]Vadim Bulitko:
Envisionment-Based Scheduling Using Time Interval Petri Networks: Representation, Inference, and Learning. University of Illinois Urbana-Champaign, USA, 2000 - [i1]Vadim Bulitko:
Oracle Complexity and Nontransitivity in Pattern Recognition. CoRR cs.CC/0010023 (2000)
1990 – 1999
- 1999
- [c1]Vadim Bulitko, David C. Wilkins:
Automated Instructor Assistant for Ship Damage Control. AAAI/IAAI 1999: 778-785 - 1995
- [j1]Vadim Bulitko:
On Completeness of Pseudodimple Sets. J. Univers. Comput. Sci. 1(2): 151-154 (1995)
Coauthor Index
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