Kumar Krishna Agrawal

I am a Resident at Google Brain as part of the Residency Program. My research interests lie in the intersection of Machine Learning and Robotics. I am passionate about developing algorithms for agents which can meaningfully interact with their environment.

I graduated from IIT-Kharagpur in 2017 with Bachelors and Masters in Mathematics and Computing. In the past, I've been fortunate to work under the supervision of Prof. Yoshua Bengio, Prof. Raman Arora and Prof. B. Sury.

blog / github

Kumar Krishna Agrawal

I am broadly interested in foundations of machine learning and optimization, with a focus on developing efficient algorithms for robotics. More specifically, I am interested in enhanced perception, control and reasoning, to allow robots to replicate and generate complex behaviour.

Discriminator Actor Critic: Addressing sample inefficiency and reward bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi,
Sergey Levine, Jonathan Tompson

Towards Mixed Optimization for Reinforcement Learning with Program Synthesis
Surya Bhupatiraju*, Kumar Krishna Agrawal*, Rishabh SIngh
Workshop on Neural Abstract Machines and Program Induction, ICML 2018

Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games
Anmol Gulati*, Kumar Krishna Agrawal*
Workshop on Evaluating Vector Space Representations for NLP, EMNLP 2017
[paper] [slides]

Recurrent Memory Addressing for describing videos
Arnav Jain*, Abhinav Agarwalla*, Kumar Krishna Agrawal*, Pabitra Mitra
Workshop on Deep Learning in Computer Vision, CVPR 2017

Generative Adversarial Motion to Image Synthesis
Arna Ghosh*, Kumar Krishna Agrawal*
Workshop on Artificial and Biological Vision, ECCV 2016

(This, is much more classy)