163 citations · 589 across the 42 of their papers we have counts for
49 papers
Multi-Task Learning for Budbreak Prediction
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada +2
Grapevine budbreak is a key phenological stage of seasonal development, which serves as a signal for the onset of active growth. This is also when grape plants are most vulnerable…
Oracle Analysis of Representations for Deep Open Set Detection
Risheek Garrepalli
The problem of detecting a novel class at run time is known as Open Set Detection & is important for various real-world applications like medical application, autonomous driving, e…
Grape Cold Hardiness Prediction via Multi-Task Learning
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada +3
Cold temperatures during fall and spring have the potential to cause frost damage to grapevines and other fruit plants, which can significantly decrease harvest yields. To help pre…
Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning
Fangzhou Yu, Ryan Batke, Jeremy Dao +3
For legged robots to match the athletic capabilities of humans and animals, they must not only produce robust periodic walking and running, but also seamlessly switch between nomin…
Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning
Ryan Batke, Fangzhou Yu, Jeremy Dao +4
In this work, we propose a method to generate reduced-order model reference trajectories for general classes of highly dynamic maneuvers for bipedal robots for use in sim-to-real r…
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine +4
Reinforcement learning (RL) agents are commonly evaluated via their expected value over a distribution of test scenarios. Unfortunately, this evaluation approach provides limited e…