Anirudhan Badrinath

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Temporal Difference

Power Transformers

Kernel Based Learning

Reinforcement Learning

Top Venues

Publications

Dan Garcia, Josh Hug, Anirudhan Badrinath, Michael Ball, Lauren Mock
Student Mission Control: Integrating Space Data Exploration into Data and Computer Science Education. SIGCSE (2) (2024)
Anirudhan Badrinath, Prabhat Agarwal, Jiajing Xu
Hybrid Preference Optimization: Augmenting Direct Preference Optimization with Auxiliary Objectives. CoRR (2024)
Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators. CoRR (2024)
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. NeurIPS (2023)
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. CoRR (2023)
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. EDM (2021)
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. CoRR (2021)