23 citations · 47 across the 25 of their papers we have counts for
6 papers · 1 filter
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates
Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor +1
Model-free reinforcement learning (RL) is a powerful tool to learn a broad range of robot skills and policies. However, a lack of policy interpretability can inhibit their successf…
Action sequencing using visual permutations
Michael Burke, Kartic Subr, Subramanian Ramamoorthy
Humans can easily reason about the sequence of high level actions needed to complete tasks, but it is particularly difficult to instil this ability in robots trained from relativel…
WhoAmI: An Automatic Tool for Visual Recognition of Tiger and Leopard Individuals in the Wild
Rita Pucci, Jitendra Shankaraiah, Devcharan Jathanna +2
Photographs of wild animals in their natural habitats can be recorded unobtrusively via cameras that are triggered by motion nearby. The installation of such camera traps is becomi…
Q-NET: A Network for Low-Dimensional Integrals of Neural Proxies
Kartic Subr
Many applications require the calculation of integrals of multidimensional functions. A general and popular procedure is to estimate integrals by averaging multiple evaluations of…
Jittering Samples using a kd-Tree Stratification
Alexandros D. Keros, Divakaran Divakaran, Kartic Subr
Monte Carlo sampling techniques are used to estimate high-dimensional integrals that model the physics of light transport in virtual scenes for computer graphics applications. Thes…
Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking
Michael Burke, Katie Lu, Daniel Angelov +4
Informative path-planning is a well established approach to visual-servoing and active viewpoint selection in robotics, but typically assumes that a suitable cost function or goal…