91 citations · 160 across the 5 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.GT2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines
Martin Schmid, Neil Burch, Marc Lanctot +3
Learning strategies for imperfect information games from samples of interaction is a challenging problem. A common method for this setting, Monte Carlo Counterfactual Regret Minimi…
cs.LG2018★ 2 cited
A Boo(n) for Evaluating Architecture Performance
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst
We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects…