95 citations · 110 across the 5 of their papers we have counts for
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cs.LG2023★ 1 cited
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte +1
Many real-world reinforcement learning (RL) problems necessitate learning complex, temporally extended behavior that may only receive reward signal when the behavior is completed.…
cs.LG2020★ 3 cited
The act of remembering: a study in partially observable reinforcement learning
Rodrigo Toro Icarte, Richard Valenzano, Toryn Q. Klassen +3
Reinforcement Learning (RL) agents typically learn memoryless policies---policies that only consider the last observation when selecting actions. Learning memoryless policies is ef…