V. Bulitko

发表

Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction

Vadim Bulitko, Russell Greiner, Csaba Szepesvári, 2008, UAI.

Reports of the AAAI 2010 Conference Workshops

Gregory M. Provan, David W. Aha, Robert P. Goldman, 2010, AI Mag..

Analysing Openings in Tactical Simulations

V. Bulitko, 2008 .

State Abstraction in Real-time Heuristic Search : The Director ’ s Cut

V. Bulitko, Nathan R Sturtevant, Jieshan Lu, 2006 .

Real-time Lookahead Control Policies

Russell Greiner, Ilya Levner, Vadim Bulitko, 2002 .

Title of Thesis: Using Distinct Information Channels for a Hybrid Web Recommender System Using Distinct Information Channels for a Hybrid Web Recommender System an Excellent Work Environment

V. Bulitko, R. Greiner, Jia Li, 2004 .

This Document Gives Full References to the Papers Cited in the Slides for Robert Holte's Aaai 2005 Tutorial " Where Do Heuristics Come from ? (the Use of Abstraction to Speed up Search) " , plus a Few Extra References

V. Bulitko, R. Greiner, Nathan R Sturtevant, 2005 .

Ju l 2 00 4 Learning for Adaptive Real-time Search

V. Bulitko, 2004 .

Training Deep Convolutional Networks with Unlimited Synthesis of Musical Examples for Multiple Instrument Recognition

V. Bulitko, Abram Hindle, Michael Frishkopf, 2018 .

Automated Planning and Player Modeling for Interactive Storytelling

Vadim Bulitko, Alejandro Jose Ramirez, V. Bulitko, 2015, IEEE Transactions on Computational Intelligence and AI in Games.

A Call for Flow Modeling in Interactive Storytelling

V. Bulitko, 2015 .

PAST : Player-Specific Automated Storytelling

V. Bulitko, Alejandro Ramirez-Sanabria, 2014 .

IJCAI-07 Reviewers

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

Challenges in Learning Vision Systems

V. Bulitko, I. Levner, 2003 .

Extending Applications of Recent Developments in Real-time Heuristic Search

V. Bulitko, D. Huntley, 2011 .

University of Alberta Applying Agent Modeling to Behaviour Patterns of Characters in Story-Based Games

V. Bulitko, Mike Carbonaro, 2009 .

V. Bulitko, I. Levner, 2004 .

Discrete Baker Transformations for Linear Cellular Automata Analysis

Vadim Bulitko, Burton Voorhees, Valeriy K. Bulitko, 2006, Journal of Cellular Automata.

Hiding and searching strategies of adult humans in a virtual and a real-space room

Vadim Bulitko, Marcia L. Spetch, Eric L. G. Legge, 2009 .

Portability and Explainability of Synthesized Formula-based Heuristics

Levi H. S. Lelis, V. Bulitko, Shuwei Wang, 2022, SOCS.

Tiered State Expansion in Optimization Crosswords

V. Bulitko, A. Botea, 2022, AIIDE.

Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding

Sergio Poo Hernandez, Levi H. S. Lelis, V. Bulitko, 2021, 2021 IEEE Conference on Games (CoG).

Playable Experiences at Aiide 2016 Rogue Process Conceptually Blended Levels in a Unity Engine Bad News

Stephen G. Ware, V. Bulitko, Nathan R Sturtevant, 2022 .

On a criterion of NP-completeness

V. Bulitko, V. Bulitko, 1998 .

Flow Maximization as a Guide to Optimizing Performance: A Computational Model

Matthew R. G. Brown, Vadim Bulitko, V. Bulitko, 2012 .

Real-Time Heuristic Search for Pathfinding in Video Games

Nathan R. Sturtevant, Yngvi Björnsson, Ramon Lawrence, 2011 .

Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding

Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence, 2010, J. Artif. Intell. Res..

On Backtracking in Real-time Heuristic Search pdf

Vadim Bulitko, Valeriy K. Bulitko, V. Bulitko, 2009, ArXiv.

Improving an Adaptive Image Interpretation System by Leveraging

Russell Greiner, Lihong Li, Ilya Levner, 2008 .

Real-Time Heuristic Search with a Priority Queue

Vadim Bulitko, Jieshan Lu, Kenneth Anderson, 2007, IJCAI.

Focus of Attention in Reinforcement Learning

Vadim Bulitko, Russell Greiner, Lihong Li, 2007, J. Univers. Comput. Sci..

Learning in Real-Time Search: A Unifying Framework pdf

V. Bulitko, G. Lee, V. Bulitko, 2011, J. Artif. Intell. Res..

Prioritized-LRTA * : Speeding Up Learning via Prioritized Updates

V. Bulitko, D. C. Rayner, Jieshan Lu, 2006 .

Speeding Up Learning in Real-time Search via Automatic State Abstraction

Nathan R. Sturtevant, Vadim Bulitko, Maryia Kazakevich, 2005, AAAI.

Learning for Adaptive Real-time Search

Vadim Bulitko, V. Bulitko, 2004, ArXiv.

Towards Automated Creation of Image Interpretation Systems

Vadim Bulitko, Russell Greiner, Lihong Li, 2003, Australian Conference on Artificial Intelligence.

Lookahead Pathologies for Single Agent Search

Vadim Bulitko, Russell Greiner, Lihong Li, 2003, IJCAI.

Lookahead Pathologies and Meta-level Control in Real-Time Heuristic Search

Vadim Bulitko, V. Bulitko, 2003 .

Learning Robust Object Recognition Strategies

Russell Greiner, Lihong Li, Ilya Levner, 2003 .

Automated Feature Extraction for Object Recognition

Russell Greiner, Lihong Li, Greg Lee, 2003 .

Adaptive Image Interpretation : A Spectrum Of Machine Learning Problems

Russell Greiner, Lihong Li, Greg Lee, 2003 .

Grounding Abstractions in Predictive State Representations

Vadim Bulitko, Brian Tanner, Cosmin Paduraru, 2007, IJCAI.

Envisionment-Based Scheduling Using Time Interval Petri Networks: Representation

Vadim Bulitko, V. Bulitko, 2000 .

Emotion-Based Interactive Storytelling with Artificial Intelligence

Vadim Bulitko, Sergio Poo Hernandez, Emilie St. Hilaire, 2014, AIIDE.

A Call for Emotion Modeling in Interactive Storytelling

Vadim Bulitko, Sergio Poo Hernandez, V. Bulitko, 2013, Intelligent Narrative Technologies.

Automated Instructor Assistant for Ship Damage Control

David C. Wilkins, Vadim Bulitko, D. C. Wilkins, 1999, AAAI/IAAI.

Damage Control Domain: Using Petri Nets for Intelligent Scheduling

Vadim Bulitko, V. Bulitko, 1999 .

Learning to Envision: An Intelligent Agent for Ship Damage Control

Vadim Bulitko, V. Bulitko, 1999 .

Learning to Select Mates in Evolving Non-playable Characters

Vadim Bulitko, Dylan R. Ashley, Valliappa Chockalingam, 2019, 2019 IEEE Conference on Games (CoG).

Automatic Algorithm Selection In Multi-agent Pathfinding pdf

Vadim Bulitko, Sven Koenig, Carlos Hernández, 2019, ArXiv.

Deep Learning for Speech Accent Detection in Videogames

Vadim Bulitko, Astrid Ensslin, Sergio Poo Hernandez, 2021, AIIDE Workshops.

Odometry and backtracking: social and individual navigation in group foraging desert harvester ants (Veromessor pergandei)

V. Bulitko, M. Spetch, J. Congdon, 2018, Animal Cognition.

Game AI as Storytelling

David Thue, Vadim Bulitko, Mark O. Riedl, 2011 .

Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study

Guohui Lin, Ilya Levner, Vadim Bulitko, 2006, Feature Extraction.

Interactive Narrative: An Intelligent Systems Approach

Vadim Bulitko, Mark O. Riedl, V. Bulitko, 2012, AI Mag..

Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks

Erin M. Bayne, Benjamin V. Tucker, Vadim Bulitko, 2020, Bioacoustics.

Practice makes proficient: pigeons (Columba livia) learn efficient routes on full-circuit navigational traveling salesperson problems

Vadim Bulitko, Peter L. Hurd, Christopher R. Madan, 2014, Animal Cognition.

Practice makes proficient: pigeons (Columba livia) learn efficient routes on full-circuit navigational traveling salesperson problems

V. Bulitko, M. Spetch, P. Hurd, 2014, Animal Cognition.

Appraisal of Emotions from Resources

Vadim Bulitko, Yathirajan Brammadesam Manavalan, V. Bulitko, 2014, ICIDS.

Anxious Learning in Real-Time Heuristic Search

Vadim Bulitko, Kacy Doucet, V. Bulitko, 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).

Passing a Hide-and-Seek Third-Person Turing Test

Vadim Bulitko, Marcia Spetch, Matthew R. Brown, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

Graph Abstraction in Real-time Heuristic Search

Nathan R. Sturtevant, Vadim Bulitko, Jieshan Lu, 2007, J. Artif. Intell. Res..

Automated Story Selection for Color Commentary in Sports

Vadim Bulitko, Greg Lee, Elliot A. Ludvig, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative

Vadim Bulitko, Greg Lee, Elliot A. Ludvig, 2012, AIIDE.

Machine Learning for Adaptive Image Interpretation

Vadim Bulitko, Ilya Levner, V. Bulitko, 2004, AAAI.

A Cover-Based Approach to Multi-Agent Moving Target Pursuit

Vadim Bulitko, Russell Greiner, Alejandro Isaza, 2008, AIIDE.

Oracle Complexity and Nontransitivity in Pattern Recognition

Vadim Bulitko, V. Bulitko, 2000, ArXiv.

Performance of Lookahead Control Policies in the Face of Abstractions and Approximations

Vadim Bulitko, Russell Greiner, Ilya Levner, 2002, SARA.

A Generative Computational Model for Human Hide and Seek Behavior

Vadim Bulitko, Marcia Spetch, Andrew Cenkner, 2011, AIIDE.

Towards Procedurally Generated Languages for Non-playable Characters in Video Games

Vadim Bulitko, Matthew R. G. Brown, Sergio Poo Hernandez, 2019, 2019 IEEE Conference on Games (CoG).

Deep Variational Autoencoders for NPC Behaviour Classification

Vadim Bulitko, Everton Schumacker Soares, V. Bulitko, 2019, 2019 IEEE Conference on Games (CoG).

Complexity of Agents in Non-stationary Environments: A Partial Computational Model

V. Bulitko, V. Bulitko, 2020 .

Modeling Culturally and Emotionally Affected Behavior

Vadim Bulitko, Jonathan Gratch, Michael van Lent, 2008, AIIDE.

TBA*: Time-Bounded A*

Nathan R. Sturtevant, Vadim Bulitko, Yngvi Björnsson, 2009, IJCAI.

Interactive Storytelling: A Player Modelling Approach

David Thue, Vadim Bulitko, Marcia Spetch, 2007, AIIDE.

Speeding Up Heuristic Function Synthesis via Extending the Formula Grammar

Vadim Bulitko, Sergio Poo Hernandez, V. Bulitko, 2021, SOCS.

Maximizing Flow as a Metacontrol in Angband

Vadim Bulitko, Matthew R. Brown, Thorey Maria Mariusdottir, 2021, AIIDE.

State Abstraction for Real-time Moving Target Pursuit : A Pilot Study

Vadim Bulitko, Nathan Sturtevant, V. Bulitko, 2006 .

Biased Cost Pathfinding

V. Bulitko, A. Geramifard, P. Chubak, 2006, AIIDE.

RETAIN: a Neonatal Resuscitation Trainer Built in an Undergraduate Video-Game Class pdf

Vadim Bulitko, Jessica Hong, Kumar Kumaran, 2015, ArXiv.

Apprenticeship Learning for Initial Value Functions in Reinforcement Learning

Frederic Maire, Vadim Bulitko, V. Bulitko, 2005, IJCAI 2005.

Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets

David C. Wilkins, Vadim Bulitko, D. C. Wilkins, 2003, Artif. Intell..

Dynamic Control in Real-Time Heuristic Search

Jonathan Schaeffer, Vadim Bulitko, Mitja Lustrek, 2008, J. Artif. Intell. Res..

Dynamic Control in Path-Planning with Real-Time Heuristic Search

Jonathan Schaeffer, Vadim Bulitko, Mitja Lustrek, 2007, ICAPS.