Efficiently detecting switches against non-stationary opponents Pablo Hernandez-Leal · Yusen Zhan · Matthew E. Taylor · L. Enrique Sucar · Enrique Munoz de Cote Abstract Interactions in multiagent systems are generally more complicated than single agent ones. Game theory provides solutions on how to act in multiple agent scenarios; however, it assumes that all agents […]
Transfer learning by prototype generation in continuous spaces Enrique Munoz de Cote, E. O. Garcia, E. Morales Abstract In machine learning, learning a task is expensive (many training samples are needed) and it is therefore of general interest to be able to reuse knowledge across tasks. This is the case in aerial robotics applications, where […]
An exploration strategy for non-stationary opponents Pablo Hernandez-Leal · Yusen Zhan · Matthew E. Taylor · L. Enrique Sucar · Enrique Munoz de Cote Abstract The success or failure of any learning algorithm is partially due to the exploration strategy it exerts. However, most exploration strategies assume that the environment is stationary and non-strategic. In […]
The trading team has won 2nd place at the PowerTac 2016 tournament finals held at IJCAI. You can check the results at the tournament’s website. pdf of the certificate
Congratulations to Fernando and Ansel for the acceptance of the paper Load Pattern Clustering Using Differential Evolution With Pareto Tournament, to be presented at IEEE-CEC.
=============================================== CALL FOR PAPERS First Workshop on Interactions with Mixed Agent Types (Agent-Mix) Held at the Int. Joint Conference on Artificial Intelligence 2016 (IJCAI-16) http://ccc.inaoep.mx/inmat ===============================================