Denis Yarats

According to our database, Denis Yarats authored at least 23 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.

Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto

CoRR, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning.

Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Watch and Match: Supercharging Imitation with Regularized Optimal Transport.

Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto

Proceedings of the Conference on Robot Learning, 2022

2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.

Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf

CoRR, 2021

Automatic Data Augmentation for Generalization in Reinforcement Learning.

Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.

Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

On the model-based stochastic value gradient for continuous reinforcement learning.

Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings.

Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reinforcement Learning with Prototypical Representations.

Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

Proceedings of the 38th International Conference on Machine Learning, 2021

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.

Denis Yarats, Ilya Kostrikov, Rob Fergus

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.

Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

On the Adequacy of Untuned Warmup for Adaptive Optimization.

Jerry Ma, Denis Yarats

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning.

Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

CoRR, 2020

The Differentiable Cross-Entropy Method.

Brandon Amos, Denis Yarats

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Generalized Inner Loop Meta-Learning.

Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

CoRR, 2019

Hierarchical Decision Making by Generating and Following Natural Language Instructions.

Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quasi-hyperbolic momentum and Adam for deep learning.

Jerry Ma, Denis Yarats

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Hierarchical Text Generation and Planning for Strategic Dialogue.

Denis Yarats, Mike Lewis

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Convolutional Sequence to Sequence Learning.

Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin

Proceedings of the 34th International Conference on Machine Learning, 2017

Deal or No Deal? End-to-End Learning of Negotiation Dialogues.

Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017