Address: Microsoft Research,
300 Lafayette Street,
New York, NY 10012
Dipendra Misra
I am a Senior Researcher at Microsoft Research, New York.
I received my PhD in computer science from Cornell University (2019) and my
bachelors in computer science from Indian Institute of Technology Kanpur (2013).
Research Interests:
My main interest is in developing efficient machine learning algorithms with
applications to real-world problems. The word efficient here includes provable,
sample and computationally efficient, interpretable, scalable, and ethical.
My empirical focus is on problems in natural language understanding and allied fields.
I am currently active in reinforcement learning theory, interactive learning,
representation learning, and language and vision problems. I also have interest
in computational social science, and data and society.
News: We have a new reinforcement learning algorithm HOMER, that provably explores,
recovers the latent dynamics, and optimizes any given reward function. HOMER can be applied
to problems with high-dimensional observations, and its theoretical guarantees
do not depend on the size of observation space.
[arXiv Version]
[ICML Version]
[Code]
[Medium Post]
- For post-doc and full-time positions in reinforcement learning apply here.
Quick Links: MSR Reinforcement Learning, Cereb-RL Code Base, CIFF Code Base, My Blog, A Bandit Game, RL Formulas
