Yarats, Denis

20 publications

ICLRW 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

ICLR 2022 Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

NeurIPS 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

CoRL 2022 Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto

NeurIPS 2021 Automatic Data Augmentation for Generalization in Reinforcement Learning Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

NeurIPSW 2021 CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

ICLR 2021 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Denis Yarats, Ilya Kostrikov, Rob Fergus

NeurIPSW 2021 Imitation Learning from Pixel Observations for Continuous Control Samuel Cohen, Brandon Amos, Marc Peter Deisenroth, Mikael Henaff, Eugene Vinitsky, Denis Yarats

AAAI 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

NeurIPSW 2021 Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

AAAI 2021 On the Adequacy of Untuned Warmup for Adaptive Optimization Jerry Ma, Denis Yarats

L4DC 2021 On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson

ICML 2021 Reinforcement Learning with Prototypical Representations Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

ICLRW 2021 Reinforcement Learning with Prototypical Representations Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto

NeurIPSW 2021 URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

ICML 2020 The Differentiable Cross-Entropy Method Brandon Amos, Denis Yarats

NeurIPS 2019 Hierarchical Decision Making by Generating and Following Natural Language Instructions Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis

ICLR 2019 Quasi-Hyperbolic Momentum and Adam for Deep Learning Jerry Ma, Denis Yarats

ICML 2018 Hierarchical Text Generation and Planning for Strategic Dialogue Denis Yarats, Mike Lewis

ICML 2017 Convolutional Sequence to Sequence Learning Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin