On Completeness of Pseudodimple Sets. - Vadim Bulitko (J. Univers. Comput. Sci., 1995)

Automated Instructor Assistant for Ship Damage Control. - Vadim Bulitko; David C. Wilkins (AAAI/IAAI, 1999)

Oracle Complexity and Nontransitivity in Pattern Recognition - Vadim Bulitko (CoRR, 2000)

Envisionment-Based Scheduling Using Time Interval Petri Networks: Representation, Inference, and Learning - Vadim Bulitko (2000)

Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. - Ilya Levner; Vadim Bulitko; Omid Madani; Russell Greiner (SARA, 2002)

Towards Automated Creation of Image Interpretation Systems. - Ilya Levner; Vadim Bulitko; Lihong Li 001; Greg Lee; Russell Greiner (Australian Conference on Artificial Intelligence, 2003)

Lookahead Pathologies for Single Agent Search. - Vadim Bulitko; Lihong Li 001; Russell Greiner; Ilya Levner (IJCAI, 2003)

Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (Artif. Intell., 2003)

On existence of complete sets for bounded reducibilities. - Valeriy K. Bulitko; Vadim Bulitko (Math. Log. Q., 2003)

Machine Learning for Adaptive Image Interpretation. - Ilya Levner; Vadim Bulitko (AAAI, 2004)

Automated selection of vision operator libraries with evolutionary algorithms. - Greg Lee; Vadim Bulitko; Ilya Levner (IEEE Congress on Evolutionary Computation, 2004)

Batch Reinforcement Learning with State Importance. - Lihong Li 001; Vadim Bulitko; Russell Greiner (ECML, 2004)

Learning for Adaptive Real-time Search - Vadim Bulitko (CoRR, 2004)

Speeding Up Learning in Real-time Search via Automatic State Abstraction. - Vadim Bulitko; Nathan R. Sturtevant; Maryia Kazakevich (AAAI, 2005)

Machine Learning for Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (Australian Conference on Artificial Intelligence, 2005)

GAMM: genetic algorithms with meta-models for vision. - Greg Lee; Vadim Bulitko (GECCO, 2005)

Automatic State Abstraction for Pathfinding in Real-Time Video Games. - Nathan R. Sturtevant; Vadim Bulitko; Michael Buro (SARA, 2005)

Comparison of Machine Learned Image Interpretation Systems in the Domain of Forestry. - Ilya Levner; Vadim Bulitko (WACV/MOTION, 2005)

Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study. - Ilya Levner; Vadim Bulitko; Guohui Lin (Feature Extraction, 2006)

Lookahead Pathology in Real-Time Path-Finding. - Vadim Bulitko; Mitja Lustrek (AAAI, 2006)

Biased Cost Pathfinding. - Alborz Geramifard; Pirooz Chubak; Vadim Bulitko (AIIDE, 2006)

Modeling Goal-Directed Players in Digital Games. - David Thue; Vadim Bulitko (AIIDE, 2006)

Genetic algorithms for action set selection across domains: a demonstration. - Greg Lee; Vadim Bulitko (GECCO, 2006)

Learning in Real-Time Search: A Unifying Framework. - Vadim Bulitko; Greg Lee (J. Artif. Intell. Res., 2006)

Discrete Baker Transformations for Linear Cellular Automata Analysis. - Valeriy K. Bulitko; Burton Voorhees; Vadim Bulitko (J. Cell. Autom., 2006)

ML-TIPN: An Algorithm for Automated Acquisition of Domain Models based on Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (J. Multiple Valued Log. Soft Comput., 2006)

Learning Player Preferences to Inform Delayed Authoring. - David Thue; Vadim Bulitko; Marcia Spetch; Eric Wasylishen (AAAI Fall Symposium: Intelligent Narrative Technologies, 2007)

Interactive Storytelling: A Player Modelling Approach. - David Thue; Vadim Bulitko; Marcia Spetch; Eric Wasylishen (AIIDE, 2007)

Dynamic Control in Path-Planning with Real-Time Heuristic Search. - Vadim Bulitko; Yngvi Björnsson; Mitja Lustrek; Jonathan Schaeffer 001; Sverrir Sigmundarson (ICAPS, 2007)

Real-Time Heuristic Search with a Priority Queue. - D. Chris Rayner; Katherine Davison; Vadim Bulitko; Kenneth Anderson 003; Jieshan Lu (IJCAI, 2007)

Grounding Abstractions in Predictive State Representations. - Brian Tanner; Vadim Bulitko; Anna Koop; Cosmin Paduraru (IJCAI, 2007)

State Abstraction in Real-Time Heuristic Search. - Vadim Bulitko (SARA, 2007)

Graph Abstraction in Real-time Heuristic Search. - Vadim Bulitko; Nathan R. Sturtevant; Jieshan Lu; Timothy Yau (J. Artif. Intell. Res., 2007)

Focus of Attention in Reinforcement Learning. - Lihong Li 001; Vadim Bulitko; Russell Greiner (J. Univers. Comput. Sci., 2007)

Modeling Culturally and Emotionally Affected Behavior. - Vadim Bulitko; Steve Solomon; Jonathan Gratch; Michael van Lent (AIIDE, 2008)

A Cover-Based Approach to Multi-Agent Moving Target Pursuit. - Alejandro Isaza; Jieshan Lu; Vadim Bulitko; Russell Greiner (AIIDE, 2008)

PaSSAGE: A Demonstration of Player Modeling in Interactive Storytelling. - David Thue; Vadim Bulitko; Marcia Spetch (AIIDE, 2008)

An evaluation of models for predicting opponent positions in first-person shooter video games. - Stephen Hladky; Vadim Bulitko (CIG, 2008)

Thinking Too Much: Pathology in Pathfinding. - Mitja Lustrek; Vadim Bulitko (ECAI, 2008)

Making Stories Player-Specific: Delayed Authoring in Interactive Storytelling. - David Thue; Vadim Bulitko; Marcia Spetch (ICIDS, 2008)

Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. - Alejandro Isaza; Csaba Szepesvári; Vadim Bulitko; Russell Greiner (UAI, 2008)

Dynamic Control in Real-Time Heuristic Search. - Vadim Bulitko; Mitja Lustrek; Jonathan Schaeffer 001; Yngvi Björnsson; Sverrir Sigmundarson (J. Artif. Intell. Res., 2008)

HSMM: Heuristic Search with Meta-Models for Image Interpretation. - Greg Lee; Vadim Bulitko; Ilya Levner (J. Multiple Valued Log. Soft Comput., 2008)

kNN LRTA*: Simple Subgoaling for Real-Time Search. - Vadim Bulitko; Yngvi Björnsson (AIIDE, 2009)

Exaggerated Claims for Interactive Stories. - David Thue; Vadim Bulitko; Marcia Spetch; Michael Webb (ICIDS, 2009)

TBA*: Time-Bounded A*. - Yngvi Björnsson; Vadim Bulitko; Nathan R. Sturtevant (IJCAI, 2009)

On Backtracking in Real-time Heuristic Search - Valeriy K. Bulitko; Vadim Bulitko (CoRR, 2009)

Socially Consistent Characters in Player-Specific Stories. - David Thue; Vadim Bulitko; Marcia Spetch; Michael Webb (AIIDE, 2010)

On learning in agent-centered search. - Nathan R. Sturtevant; Vadim Bulitko; Yngvi Björnsson (AAMAS, 2010)

Taking Learning Out of Real-Time Heuristic Search for Video-Game Pathfinding. - Ramon Lawrence; Vadim Bulitko (Australasian Conference on Artificial Intelligence, 2010)

Automated Storytelling in Sports: A Rich Domain to Be Explored. - Greg Lee; Vadim Bulitko (ICIDS, 2010)

Player Agency and the Relevance of Decisions. - David Thue; Vadim Bulitko; Marcia Spetch; Trevon Romanuik (ICIDS, 2010)

Reports of the AAAI 2010 Conference Workshops. - 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; et al. (AI Mag., 2010)

SARA 2009: The Eighth Symposium on Abstraction, Reformulation and Approximation. - Vadim Bulitko; J. Christopher Beck (AI Mag., 2010)

Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding. - Vadim Bulitko; Yngvi Björnsson; Ramon Lawrence (J. Artif. Intell. Res., 2010)

Extending the Applications of Recent Real-Time Heuristic Search. - Daniel Andrew Huntley; Vadim Bulitko (AAAI, 2011)

A Generative Computational Model for Human Hide and Seek Behavior. - Andrew Cenkner; Vadim Bulitko; Marcia Spetch (AIIDE, 2011)

A Computational Model of Perceived Agency in Video Games. - David Thue; Vadim Bulitko; Marcia Spetch; Trevon Romanuik (AIIDE, 2011)

Learning Where You Are Going and from Whence You Came: h- and g-Cost Learning in Real-Time Heuristic Search. - Nathan R. Sturtevant; Vadim Bulitko (IJCAI, 2011)

Recap of the 2010 AI and Interactive Digital Entertainment Conference. - G. Michael Youngblood; Vadim Bulitko; Ben George Weber (AI Mag., 2011)

Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games. - Mark O. Riedl; Vadim Bulitko (AAAI, 2012)

On Case Base Formation in Real-Time Heuristic Search. - Vadim Bulitko; D. Chris Rayner; Ramon Lawrence (AIIDE, 2012)

Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative. - Greg Lee; Vadim Bulitko; Elliot A. Ludvig (AIIDE, 2012)

Telling Interactive Player-specific Stories and Planning for It: ASD + PaSSAGE = PAST. - Alejandro Jose Ramirez; Vadim Bulitko (AIIDE, 2012)

Procedural Game Adaptation: Framing Experience Management as Changing an MDP. - David Thue; Vadim Bulitko (INT@AIIDE, 2012)

Recap of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). - Vadim Bulitko; Mark O. Riedl; Arnav Jhala; Michael Buro; Nathan R. Sturtevant (AI Mag., 2012)

Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions - Alejandro Isaza; Csaba Szepesvári; Vadim Bulitko; Russell Greiner (CoRR, 2012)

A Call for Emotion Modeling in Interactive Storytelling. - Sergio Poo Hernandez; Vadim Bulitko (Intelligent Narrative Technologies, 2013)

Evaluating Planning-Based Experience Managers for Agency and Fun in Text-Based Interactive Narrative. - Alejandro Jose Ramirez; Vadim Bulitko; Marcia Spetch (AIIDE, 2013)

Implementation Cost and Efficiency for AI Experience Managers. - David Thue; Vadim Bulitko; Howard J. Hamilton (Intelligent Narrative Technologies, 2013)

Interactive Narrative: An Intelligent Systems Approach. - Mark O. Riedl; Vadim Bulitko (AI Mag., 2013)

Search-Space Characterization for Real-time Heuristic Search. - Daniel Andrew Huntley; Vadim Bulitko (CoRR, 2013)

Database-Driven Real-Time Heuristic Search in Video-Game Pathfinding. - Ramon Lawrence; Vadim Bulitko (IEEE Trans. Comput. Intell. AI Games, 2013)

Emotion-Based Interactive Storytelling with Artificial Intelligence. - Sergio Poo Hernandez; Vadim Bulitko; Emilie St. Hilaire (AIIDE, 2014)

Playable Experiences at AIIDE 2014. - Nathan R. Sturtevant; Jeff Orkin; Robert Zubek; Michael Cook 001; Stephen G. Ware; Christian Stith; Robert Michael Young; Phillip Wright; Squirrel (Brian) Eiserloh; Alejandro Ramirez-Sanabria; Vadim Bulitko; Kieran Lord (AIIDE, 2014)

Appraisal of Emotions from Resources. - Yathirajan Brammadesam Manavalan; Vadim Bulitko (ICIDS, 2014)

Reaching the Goal in Real-Time Heuristic Search: Scrubbing Behavior is Unavoidable. - Nathan R. Sturtevant; Vadim Bulitko (SOCS, 2014)

Flow for Meta Control. - Vadim Bulitko (CoRR, 2014)

Passing a Hide-and-Seek Third-Person Turing Test. - Andrew Cenkner; Vadim Bulitko; Marcia Spetch; Eric Legge; Craig G. Anderson; Matthew R. Brown 002 (IEEE Trans. Comput. Intell. AI Games, 2014)

Automated Story Selection for Color Commentary in Sports. - Greg Lee; Vadim Bulitko; Elliot A. Ludvig (IEEE Trans. Comput. Intell. AI Games, 2014)

Playable Experiences at AIIDE 2015. - Michael Cook 001; Squirrel Eiserloh; Justus Robertson; Robert Michael Young; Tommy Thompson; David Churchill; Martin Cerný 001; Sergio Poo Hernandez; Vadim Bulitko (AIIDE, 2015)

Keeping the Player on an Emotional Trajectory in Interactive Storytelling. - Sergio Poo Hernandez; Vadim Bulitko; Marcia Spetch (AIIDE, 2015)

A Lightweight Algorithm for Procedural Generation of Emotionally Affected Behavior and Appearance. - Yathirajan Brammadesam Manavalan; Vadim Bulitko; Marcia Spetch (AIIDE, 2015)

Maximizing Flow as a Metacontrol in Angband. - Thorey Maria Mariusdottir; Vadim Bulitko; Matthew R. Brown 002 (AIIDE, 2015)

RETAIN: a Neonatal Resuscitation Trainer Built in an Undergraduate Video-Game Class. - Vadim Bulitko; Jessica Hong; Kumar Kumaran; Ivan Swedberg; William Thoang; Patrick von Hauff; Georg Schmolzer (CoRR, 2015)

Automated Planning and Player Modeling for Interactive Storytelling. - Alejandro Jose Ramirez; Vadim Bulitko (IEEE Trans. Comput. Intell. AI Games, 2015)

Per-Map Algorithm Selection in Real-Time Heuristic Search. - Vadim Bulitko (AIIDE, 2016)

Evolving Real-time Heuristic Search Algorithms. - Vadim Bulitko (ALIFE, 2016)

Searching for Real-Time Heuristic Search Algorithms. - Vadim Bulitko (SOCS, 2016)

Weighted Lateral Learning in Real-Time Heuristic Search. - Vadim Bulitko; Alexander Sampley (SOCS, 2016)

Scrubbing During Learning In Real-time Heuristic Search. - Nathan R. Sturtevant; Vadim Bulitko (J. Artif. Intell. Res., 2016)

Effects of Self-Knowledge: Once Bitten Twice Shy. - Vadim Bulitko (AIIDE Workshops, 2017)

Towards Positively Surprising Non-Player Characters in Video Games. - Vadim Bulitko; Shelby Carleton; Delia Cormier; Devon Sigurdson; John Simpson 002 (AIIDE Workshops, 2017)

Deep Learning for Speech Accent Detection in Videogames. - Astrid Ensslin; Tejasvi Goorimoorthee; Shelby Carleton; Vadim Bulitko; Sergio Poo Hernandez (AIIDE Workshops, 2017)

Robustness of Real-Time Heuristic Search Algorithms to Read/Write Error in Externally Stored Heuristics. - Mina Abdi Oskouie; Vadim Bulitko (AIIDE, 2017)

Deep Learning for Real-Time Heuristic Search Algorithm Selection. - Devon Sigurdson; Vadim Bulitko (AIIDE, 2017)

Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads. - Carlos Hernández 003; Adi Botea; Jorge A. Baier; Vadim Bulitko (IJCAI, 2017)

Evolving NPC Behaviours in A-life with Player Proxies. - Vadim Bulitko; Mac Walters; Matthew R. Brown 002 (AIIDE Workshops, 2018)

Deep Learning for Classification of Speech Accents in Video Games. - Sergio Poo Hernandez; Vadim Bulitko; Shelby Carleton; Astrid Ensslin; Tejasvi Goorimoorthee (AIIDE Workshops, 2018)

Toward a Unified Understanding of Experience Management. - David Thue; Vadim Bulitko (AIIDE, 2018)

Anxious Learning in Real-Time Heuristic Search. - Vadim Bulitko; Kacy Doucet (CIG, 2018)

Multi-Agent Pathfinding with Real-Time Heuristic Search. - Devon Sigurdson; Vadim Bulitko; William Yeoh 001; Carlos Hernández 003; Sven Koenig (CIG, 2018)

Learning to Select Mates in Evolving Non-playable Characters. - Dylan R. Ashley; Valliappa Chockalingam; Braedy Kuzma; Vadim Bulitko (CoG, 2019)

Towards Procedurally Generated Languages for Non-playable Characters in Video Games. - Joshua Sirota; Vadim Bulitko; Matthew R. G. Brown; Sergio Poo Hernandez (CoG, 2019)

Deep Variational Autoencoders for NPC Behaviour Classification. - Everton Schumacker Soares; Vadim Bulitko (CoG, 2019)

Learning to select mates in artificial life. - Dylan R. Ashley; Valliappa Chockalingam; Braedy Kuzma; Vadim Bulitko (GECCO (Companion), 2019)

Evolving recurrent neural networks for emergent communication. - Joshua Sirota; Vadim Bulitko; Matthew R. G. Brown; Sergio Poo Hernandez (GECCO (Companion), 2019)

A-life Evolution with Human Proxies. - Vadim Bulitko; Kacy Doucet; Daniel Evans; Hope Docking; Mac Walters; Marilene Oliver; Julian Chow; Shelby Carleton; Natali Kendal-Freedman (ALIFE, 2019)

A Learning-Based Framework for Memory-Bounded Heuristic Search: First Results. - Carlos Hernández Ulloa; Jorge A. Baier; William Yeoh 001; Vadim Bulitko; Sven Koenig (SOCS, 2019)

Automatic Algorithm Selection In Multi-agent Pathfinding. - Devon Sigurdson; Vadim Bulitko; Sven Koenig; Carlos Hernández 003; William Yeoh 001 (CoRR, 2019)

Evolving Initial Heuristic Functions for Agent-Centered Heuristic Search. - Vadim Bulitko (CoG, 2020)

Evolving Romanian Crossword Puzzles with Deep Learning and Heuristic Search. - Vadim Bulitko; Adi Botea (CoG, 2021)

Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding. - Vadim Bulitko; Sergio Poo Hernandez; Levi H. S. Lelis (CoG, 2021)

Scaling Up Search with Partial Initial States in Optimization Crosswords. - Adi Botea; Vadim Bulitko (SOCS, 2021)

Speeding Up Heuristic Function Synthesis via Extending the Formula Grammar. - Sergio Poo Hernandez; Vadim Bulitko (SOCS, 2021)

Tiered State Expansion in Optimization Crosswords. - Adi Botea; Vadim Bulitko (AIIDE, 2022)

Portability and Explainability of Synthesized Formula-based Heuristics. - Vadim Bulitko; Shuwei Wang; Justin Stevens 001; Levi H. S. Lelis (SOCS, 2022)

Synthesizing Priority Planning Formulae for Multi-Agent Pathfinding. - Shuwei Wang; Vadim Bulitko; Taoan Huang; Sven Koenig; Roni Stern (AIIDE, 2023)

Generating and Solving Champion-Level Romanian Crosswords Puzzles. - Adi Botea; Vadim Bulitko (CoG, 2023)

Game-map Pathfinding with Per-Problem Selection of Synthesized Heuristics. - Vadim Bulitko; Ramon Lawrence (CoG, 2023)

Core Expansion in Optimization Crosswords. - Adi Botea; Vadim Bulitko (SOCS, 2023)

Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate. - Justin Stevens 001; Vadim Bulitko; David Thue (CoRR, 2023)

Abstraction and Path Computation for Video Game Path Finding with Changing Maps. - Teresa Saller; Ramon Lawrence; Vadim Bulitko (AIIDE, 2024)

Extended Seeds in Optimization Crosswords. - Adi Botea; Vadim Bulitko (CoG, 2024)

Formula- and Memory-based Heuristics In Video-game Pathfinding. - Paul Saunders; Vadim Bulitko; Simona Ondrcková; Roman Barták (CoG, 2024)

Explaining Synthesized Pathfinding Heuristics via Iterative Visualization and Modification. - Shuwei Wang; Vadim Bulitko; William Yeoh 001 (CoG, 2024)