18 citations · 83 across the 20 of their papers we have counts for
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cs.AI2018★ 2 cited
Assessing the Potential of Classical Q-learning in General Game Playing
Hui Wang, Michael Emmerich, Aske Plaat
After the recent groundbreaking results of AlphaGo and AlphaZero, we have seen strong interests in deep reinforcement learning and artificial general intelligence (AGI) in game pla…
cs.CG2018★ 18 cited
Maximum Volume Subset Selection for Anchored Boxes
Karl Bringmann, Sergio Cabello, Michael T. M. Emmerich
Let be a set of axis-parallel boxes in such that each box has a corner at the origin and the other corner in the positive quadrant of , and let…
cs.AI2018★ 14 cited
Monte Carlo Q-learning for General Game Playing
Hui Wang, Michael Emmerich, Aske Plaat
After the recent groundbreaking results of AlphaGo, we have seen a strong interest in reinforcement learning in game playing. General Game Playing (GGP) provides a good testbed for…