most citedDeep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions

32 citations · 32 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2015★ 32 cited

Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions

Peter Sunehag, Richard Evans, Gabriel Dulac-Arnold +3

Many real-world problems come with action spaces represented as feature vectors. Although high-dimensional control is a largely unsolved problem, there has recently been progress f…