21 citations · 56 across the 6 of their papers we have counts for
3 papers · 1 filter
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin +5
We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations…
Optimal Team Economic Decisions in Counter-Strike
Peter Xenopoulos, Bruno Coelho, Claudio Silva
The outputs of win probability models are often used to evaluate player actions. However, in some sports, such as the popular esport Counter-Strike, there exist important team-leve…
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive
Guido Petri, Michael H. Stanley, Alec B. Hon +3
Many esports use a pick and ban process to define the parameters of a match before it starts. In Counter-Strike: Global Offensive (CSGO) matches, two teams first pick and ban maps,…