Denis Yarats
I am a PhD student at New York University by
Rob Fergus and
Lerrel Pinto
and at Facebook AI Research supervised by
Alessandro Lazaric.
I am interested in representation learning in image-based RL in order to improve sample efficiency and generalization.
[Google Scholar]
[GitHub]
[CV]
[denisyarats at cs dot nyu dot edu]
Publications
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings.
Joanne Truong,
Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai.
Submitted to ICRA 2021.
[PDF]
[arXiv]
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning.
Brandon Amos, Sam Stanton,
Denis Yarats, Andrew Wilson.
Submitted to L4DC 2021.
[PDF]
[arXiv]
[Website]
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning.
Roberta Raileanu, Max Goldstein,
Denis Yarats, Ilya Kostrikov, Rob Fergus.
Submitted to ICLR 2021.
[PDF]
[arXiv]
[Code]
[Website]
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.
Denis Yarats*, Ilya Kostrikov*, Rob Fergus.
ICLR 2021 (Spotlight).
[PDF]
[arXiv]
[Code]
[Website]
On the adequacy of untuned warmup for adaptive optimization.
Jerry Ma,
Denis Yarats.
AAAI 2021.
[PDF]
[arXiv]
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus.
AAAI 2021.
[PDF]
[arXiv]
[Code]
[Website]
The Differentiable Cross-Entropy Method.
Brandon Amos,
Denis Yarats.
ICML 2020.
[PDF]
[arXiv]
[Website]
Generalized Inner Loop Meta-Learning.
Edward Grefenstette, Brandon Amos,
Denis Yarats, Phu Mon Htut, Artem Molchanov
Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala.
ArXiv 2019.
[PDF]
[arXiv]
[Code]
[Website]
Hierarchical Decision Making by Generating and Following Natural Language Instructions.
Hengyuan Hu*,
Denis Yarats*, Qucheng Gong, Yuandong Tian, Mike Lewis.
NeurIPS 2019.
[PDF]
[arXiv]
[Code]
[Website]
[Blog]
Quasi-hyperbolic momentum and Adam for deep learning.
Jerry Ma,
Denis Yarats.
ICLR 2019.
[PDF]
[arXiv]
[Code]
[Website]
Hierarchical Text Generation and Planning for Strategic Dialogue.
Denis Yarats, Mike Lewis.
ICML 2018.
[PDF]
[arXiv]
[Code]
Deal or No Deal? End-to-End Learning for Negotiation Dialogues.
Mike Lewis,
Denis Yarats, Yann Dauphin, Devi Parikh, Dhruv Batra.
EMNLP 2017.
[PDF]
[arXiv]
[Code]
Convolutional Sequence to Sequence Learning.
Jonas Gehring, Michael Auli, David Grangier,
Denis Yarats, Yann Dauphin.
ICML 2017.
[PDF]
[arXiv]
[Code]
Code
PyTorch implementation of Soft Actor-Critic.
Denis Yarats, Ilya Kostrikov.
[Code]
OpenAI Gym wrapper for the DeepMind Control Suite.
Denis Yarats.
[Code]