19 citations · 31 across the 17 of their papers we have counts for
3 papers · 1 filter
Interpretable Sequence Classification via Discrete Optimization
Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte +1
Sequence classification is the task of predicting a class label given a sequence of observations. In many applications such as healthcare monitoring or intrusion detection, early c…
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…
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano +1
Reinforcement learning (RL) methods usually treat reward functions as black boxes. As such, these methods must extensively interact with the environment in order to discover reward…