The following publications are possibly variants of this publication:
- Efficiently detecting switches against non-stationary opponentsPablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote. AAMAS, 31(4):767-789, 2017. [doi]
- Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium)Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar. atal 2015: 1989-1990 [doi]
- Using a Priori Information for Fast Learning Against Non-stationary OpponentsPablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar. iberamia 2014: 536-547 [doi]
- A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote. atal 2016: 1315-1316 [doi]
- Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian ApproachPablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote. AAAI 2016: [doi]
- Modeling non-stationary opponentsPablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar. atal 2013: 1135-1136 [doi]
- An exploration strategy for non-stationary opponentsPablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote. AAMAS, 31(5):971-1002, 2017. [doi]