Roy Hayes

12 papers B 1Misc 4Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2021 B conf
Inverse Reinforcement Learning for Strategy Identification.
SMC
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
2021 J jnl
Inverse Reinforcement Learning for Strategy Identification.
CoRR
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
2018 J jnl
Unsupervised Hierarchical Clustering of Build Orders in a Real-Time Strategy Game.
Comput. Games J.
Roy Hayes, Peter A. Beling
2014 J jnl
Agent-Based Simulation of Mass Shootings: Determining How to Limit the Scale of a Tragedy.
J. Artif. Soc. Soc. Simul.
Roy Hayes, Reginald L. Hayes
2014 Misc conf
An agent-based financial simulation for use by researchers.
WSC
Roy Hayes, Andrew Todd, Nachapon Chaidarun, Scott Tepsuporn, Peter A. Beling, William T. Scherer
2014 Misc conf
Computational intelligence in financial engineering trading competition: a system for project-based learning.
WSC
Nachapon Chaidarun, Scott Tepsuporn, Roy Hayes, Peter A. Beling, William T. Scherer, Stefano Grazioli
2014 — conf
Micro-price trading in an order-driven market.
CIFEr
Andrew Todd, Roy Hayes, Peter A. Beling, William T. Scherer
2014 J jnl
Real Time Strategy Language.
CoRR
Roy Hayes, Peter A. Beling, William T. Scherer
2014 Misc conf
The need for a real time strategy game language.
WSC
Roy Hayes, Peter A. Beling, William T. Scherer
2012 Misc conf
Agent based model of the e-mini future: application for policy making.
WSC
Roy Hayes, Mark E. Paddrik, Andrew Todd, Steve Y. Yang, Peter A. Beling, William T. Scherer
2012 — conf
An agent based model of the E-Mini S&P 500 applied to flash crash analysis.
CIFEr
Mark E. Paddrik, Roy Hayes, Andrew Todd, Steve Y. Yang, Peter A. Beling, William T. Scherer
2012 — conf
Behavior based learning in identifying High Frequency Trading strategies.
CIFEr
Steve Y. Yang, Mark E. Paddrik, Roy Hayes, Andrew Todd, Andrei Kirilenko, Peter A. Beling, William T. Scherer