1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model
Alexander Sieusahai, Matthew Guzdial
One major barrier to applications of deep Reinforcement Learning (RL) both inside and outside of games is the lack of explainability. In this paper, we describe a lightweight and e…
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…