Representation Matters: Offline Pretraining for Sequential Decision Making

11 February 2021

Papers citing "Representation Matters: Offline Pretraining for Sequential Decision Making"

30 / 80 papers shown

Title
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 137 479 0 18 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 150 1,838 0 08 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 114 150 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 971 42,651 0 28 May 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 98 775 0 27 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 578 2,049 0 04 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 243 1,386 0 15 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 134 1,093 0 08 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 414 18,960 0 13 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 167 1,376 0 03 Dec 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 105 691 0 26 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 238 12,163 0 13 Nov 2019
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine Yinlam Chow Rui Shu Ang Li Mohammad Ghavamzadeh Hung Bui 60 30 0 04 Sep 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 152 343 0 30 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 90 288 0 06 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 150 1,068 0 03 Jun 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 120 552 0 29 Apr 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 157 2,456 0 13 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 270 1,626 0 07 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,526 0 11 Oct 2018
The Laplacian in RL: Learning Representations with Efficient Approximations Yifan Wu George Tucker Ofir Nachum OffRL 66 87 0 10 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 91 211 0 02 Oct 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 356 10,386 0 10 Jul 2018
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 122 557 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 97 335 0 11 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 156 2,453 0 15 May 2017
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 105 186 0 21 Dec 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 126 847 0 24 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 774 31,597 0 16 Jan 2013
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 84 320 0 11 Jul 2012