Hi! I am Ankesh Anand, a PhD student in Artifical Intelligence at Mila, working with Aaron Courville on Representation Rearning and Reinforcement Learning. Right now, I am interning at DeepMind, London with Jessica Hamrick. Previously I worked at Microsoft Research, Montreal as a research intern with Devon Hjelm and Philip Bachman.

Earlier, I graduated from IIT Kharagpur with a Bachelors and Masters in Mathematics and Computing. I have also spent time at VISA, HackerEarth and Google Summer of Code.


Data-Efficient RL with Self-Predictive Representations
Max Schwarzer*, Ankesh Anand*, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman
ICLR 2021, Spotlight
Unsupervised State Representation Learning in Atari
Ankesh Anand*, Evan Racah*, Sherjil Ozair*, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm
NeurIPS 2019
Blindfold Baselines for Embodied QA
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron Courville
ViGIL Workshop at NeurIPS 2018
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez*, Ankesh Anand*, Florian Golemo*, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron Courville
ICLR 2018, Workshop Track
MMGAN: Manifold Matching Generative Adversarial Networks
Noseong Park, Ankesh Anand, Joel Moniz, Kookjin Lee, Tanmoy Chakraborty, J Choo, H Park, Youngmin Kim
ICPR 2018
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!
Ankesh Anand, Tanmoy Chakraborty, Noseong Park
ECIR 2017