Yash Chandak
Yash Chandak
Postdoc, Computer Science Department, Stanford University
Joined
July 2019
Names
Emails
****@cs.umass.edu (Confirmed)
****@stanford.edu (Confirmed)
****@gmail.com (Confirmed)
****@cohere.com (Confirmed)
Personal Links
Career & Education History
Postdoc
Computer Science Department, Stanford University (cs.stanford.edu)
2022 – Present
PhD student
College of Information and Computer Science, University of Massachusetts, Amherst (cics.umass.edu)
2017 – 2022
Undergrad student
Vellore Institute of Technology, India (vit.ac.in)
2013 – 2017
Advisors, Relations & Conflicts
Expertise
Reinforcement Learning
, off-policy
, confounding
, counterfactual
, partial-observability
2017 – Present
Reinforcement Learning
, Non-stationarity
, tracking
, adaptation
2017 – Present
Reinforcement learning
, safety
, high confidence
, guarantees
2017 – Present
Continual Learning
, Lifelong Learning
2017 – Present
Publications
Co-Authors
- Aldo Pacchiano
- Allen Nie
- András György
- Anirudhan Badrinath
- Annie Xie
- Arya Mazumdar
- Bernardo Avila Pires
- Bilal Piot
- Blossom Metevier
- Bruno Castro da Silva
- Charline Le Lan
- Chelsea Finn
- Chris Nota
- Christina J. Yuan
- Christina Yuan
- Clare Lyle
- Daniel Cohen
- Daniele Calandriello
- Dhawal Gupta
- Diana L Borsa
- Doina Precup
- Emma Brunskill
- Emma Jordan
- Erik G. Learned-Miller
- Erik Learned-Miller