69 citations · 71 across the 3 of their papers we have counts for
3 papers
Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic
Mikihisa Yuasa, Ramavarapu S. Sreenivas, Huy T. Tran
Neural network-based policies have demonstrated success in many robotic applications, but often lack human-explanability, which poses challenges in safety-critical deployments. To…
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
Mikihisa Yuasa, Huy T. Tran, Ramavarapu S. Sreenivas
Understanding a \textit{reinforcement learning} policy, which guides state-to-action mappings to maximize rewards, necessitates an accompanying explanation for human comprehension.…
WayFAST: Navigation with Predictive Traversability in the Field
Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu +5
We present a self-supervised approach for learning to predict traversable paths for wheeled mobile robots that require good traction to navigate. Our algorithm, termed WayFAST (Way…