158 citations · 176 across the 7 of their papers we have counts for
Showing 2018 · cs.AIShow all
2 papers · 2 filters
cs.AI2018
Combining imagination and heuristics to learn strategies that generalize
Erik J Peterson, Necati Alp Müyesser, Timothy Verstynen +1
Deep reinforcement learning can match or exceed human performance in stable contexts, but with minor changes to the environment artificial networks, unlike humans, often cannot ada…
cs.AI2018★ 1 cited
Learning model-based strategies in simple environments with hierarchical q-networks
Necati Alp Muyesser, Kyle Dunovan, Timothy Verstynen
Recent advances in deep learning have allowed artificial agents to rival human-level performance on a wide range of complex tasks; however, the ability of these networks to learn g…