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.

Publications

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