101 citations · 189 across the 27 of their papers we have counts for
4 papers · 1 filter
Fast Design Space Exploration of Nonlinear Systems: Part I
Sanjai Narain, Emily Mak, Dana Chee +4
System design tools are often only available as input-output blackboxes: for a given design as input they compute an output representing system behavior. Blackboxes are intended to…
Stochastically Dominant Distributional Reinforcement Learning
John D. Martin, Michal Lyskawinski, Xiaohu Li +1
We describe a new approach for managing aleatoric uncertainty in the Reinforcement Learning (RL) paradigm. Instead of selecting actions according to a single statistic, we propose…
Recursive Sparse Pseudo-input Gaussian Process SARSA
John Martin, Brendan Englot
The class of Gaussian Process (GP) methods for Temporal Difference learning has shown promise for data-efficient model-free Reinforcement Learning. In this paper, we consider a rec…
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
John Martin, Jinkun Wang, Brendan Englot
We present a method for Temporal Difference (TD) learning that addresses several challenges faced by robots learning to navigate in a marine environment. For improved data efficien…