30 citations · 43 across the 13 of their papers we have counts for
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cs.LG2022
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations
Marissa D'Alonzo, Rebecca Russell
Knowledge of the symmetries of reinforcement learning (RL) systems can be used to create compressed and semantically meaningful representations of a low-level state space. We prese…
cs.LG2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning
Christopher Reale, Rebecca Russell
Hidden parameters are latent variables in reinforcement learning (RL) environments that are constant over the course of a trajectory. Understanding what, if any, hidden parameters…
cs.LG2022
Competency Assessment for Autonomous Agents using Deep Generative Models
Aastha Acharya, Rebecca Russell, Nisar R. Ahmed
For autonomous agents to act as trustworthy partners to human users, they must be able to reliably communicate their competency for the tasks they are asked to perform. Towards thi…