812 citations · 954 across the 15 of their papers we have counts for
Showing 2021 · cs.AIShow all
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cs.AI2021
The Partially Observable History Process
Dustin Morrill, Amy R. Greenwald, Michael Bowling
We introduce the partially observable history process (POHP) formalism for reinforcement learning. POHP centers around the actions and observations of a single agent and abstracts…
cs.AI2021★ 1 cited
Learning to Be Cautious
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai +2
A key challenge in the field of reinforcement learning is to develop agents that behave cautiously in novel situations. It is generally impossible to anticipate all situations that…