Michael Buro

Computer Science · Physical Sciences

31h-index2.4kcitations110works0.02yr avg
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Research Topics

Artificial Intelligence in Games(79), Digital Games and Media(32), Sports Analytics and Performance(26), Reinforcement Learning in Robotics(16), Educational Games and Gamification(13)

Publications110 total

Neural Bayesian Filtering
arXiv (Cornell University)·2025Open Access
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
arXiv (Cornell University)·2025Open Access
Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games
arXiv (Cornell University)·2024Open Access
History Filtering in Imperfect Information Games: Algorithms and Complexity
arXiv (Cornell University)·2023Open Access
Online Multiple-Pedestrian Tracking With Detection-Pair-Based Graph Convolutional Networks
IEEE Internet of Things Journal·2022· 9 cited
Alpha-Beta Pruning for Games with Simultaneous Moves
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 23 citedOpen Access
Combining Strategic Learning with Tactical Search in Real-Time Strategy Games
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment·2021· 37 citedOpen Access
Inference-Based Deterministic Messaging For Multi-Agent Communication
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 5 citedOpen Access
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
Proceedings of the AAAI Conference on Artificial Intelligence·2021Open Access
Inference-Based Deterministic Messaging For Multi-Agent Communication
arXiv (Cornell University)·2021Open Access
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime\n Distribution Predictions
arXiv (Cornell University)·2020Open Access
Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search
arXiv (Cornell University)·2020· 1 citedOpen Access
Single-Agent Optimization Through Policy Iteration Using Monte-Carlo\n Tree Search
arXiv (Cornell University)·2020· 1 citedOpen Access
Search in Video Games
Data Archiving and Networked Services (DANS)·2019
AI for Card Games with Hidden Information
Data Archiving and Networked Services (DANS)·2019
Combining Scripted Behavior with Game Tree Search for Stronger, More Robust Game AI
2019· 4 cited
Combat Outcome Prediction for Real-Time Strategy Games
2019· 2 cited
Hierarchical Portfolio Search in Prismata
2019
Learning Policies from Human Data for Skat
2019 IEEE Conference on Games (CoG)·2019Open Access
Robust Continuous Build-Order Optimization in StarCraft
2019 IEEE Conference on Games (CoG)·2019· 6 cited
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Frequent Co-authors

Marius Stănescu(10), Nicolas A. Barriga(9), Timothy Furtak(7), David G. Churchill(6), Nathan Sturtevant(4), Graham Erickson(2), Hilmar Finnsson(2), Abdallah Saffidine(2), Thomas Hauk(2), Jonathan Schaeffer(2), Abdallah Saffidine(1), Jeffrey R. Long(1), Santiago Ontañón(1), Frantisek Sailer(1), Marc Lanctot(1), Alexander Kovarsky(1), Andy Hess(1), Jeffrey R Long(1), Sergio Poo Hernandez(1), Russel Greiner(1)