Sathwik Karnik

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Training Dataset

Reinforcement Learning

Class Distribution

Spatial Data Structures

Top Venues

Publications

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR (2023)
Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD (2023)
Sarah Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. CoRR (2022)
Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. ICRA (2022)
Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. CoRR (2022)