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Tucker George

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Papers38 papers

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Meta-Learning without Memorization

Mingzhang Yin,George Tucker,Mingyuan Zhou,Sergey Levine,Chelsea Finn

ICLR, (2020)

Cited by4EIBibtex

Conservative Q-Learning for Offline Reinforcement Learning

Kumar Aviral, Zhou Aurick,Tucker George,Levine Sergey

Bibtex

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Levine Sergey, Kumar Aviral,Tucker George, Fu Justin

Bibtex

Datasets for Data-Driven Reinforcement Learning

Fu Justin, Kumar Aviral, Nachum Ofir,Tucker George,Levine Sergey

Bibtex

RL Unplugged: Benchmarks for Offline Reinforcement Learning

Caglar Gulcehre,Ziyu Wang, Alexander Novikov,Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal,Josh Merel,Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li

Bibtex

Model Based Reinforcement Learning for Atari

Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłos, Błażej Osiński,Roy H Campbell, Konrad Czechowski,Dumitru Erhan,Chelsea Finn, Piotr Kozakowski,Sergey Levine, Afroz Mohiuddin, Ryan Sepassi

ICLR, (2020)

Cited by82EIBibtex

Guided evolutionary strategies: augmenting random search with surrogate gradients

Niru Maheswaranathan, Luke Metz,George Tucker, Dami Choi,Jascha Sohl-Dickstein

international conference on machine learning, (2019)

Cited by13EIBibtex

Learning to Walk via Deep Reinforcement Learning

Haarnoja Tuomas,Ha Sehoon, Zhou Aurick, Tan Jie,Tucker George,Levine Sergey

Robotics - Science and Systems, (2019)

EIBibtex

Behavior Regularized Offline Reinforcement Learning

Wu Yifan,Tucker George, Nachum Ofir

Bibtex

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse

James Lucas,George Tucker,Roger B. Grosse,Mohammad Norouzi

NeurIPS, pp.9403-9413, (2019)

Cited by3EIBibtex

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Aviral Kumar, Justin Fu, Matthew Soh,George Tucker,Sergey Levine

neural information processing systems, pp.11761-11771, (2019)

Cited by31EIBibtex

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Aviral Kumar,Justin Fu,George Tucker,Sergey Levine

NeurIPS, (2019)

Cited by9EIBibtex

On Variational Bounds of Mutual Information

Ben Poole,Sherjil Ozair,Aäron van den Oord,Alexander A. Alemi,George Tucker

international conference on machine learning, (2019)

Cited by53EIBibtex

Understanding Posterior Collapse in Variational Autoencoders

James Lucas,George Tucker,Roger Grosse,Mohammad Norouzi

neural information processing systems, (2019)

Bibtex

Model-Based Reinforcement Learning for Atari

Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski,Roy H. Campbell, Konrad Czechowski,Dumitru Erhan,Chelsea Finn, Piotr Kozakowski,Sergey Levine, Ryan Sepassi,George Tucker

arXiv: Learning, (2019)

EIBibtex

Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives

George Tucker, Dieterich Lawson,Shixiang Gu,Christopher Maddison

international conference on learning representations, (2019)

Cited by22EIBibtex

The Laplacian in RL: Learning Representations with Efficient Approximations

Yifan Wu,George Tucker, Ofir Nachum

international conference on learning representations, (2019)

Cited by1EIBibtex

Guided evolutionary strategies: escaping the curse of dimensionality in random search

Niru Maheswaranathan, Luke Metz,George Tucker,Jascha Sohl-Dickstein

arXiv: Neural and Evolutionary Computing, (2018)

Cited by1EIBibtex

Learning to Walk via Deep Reinforcement Learning

Tuomas Haarnoja, Aurick Zhou,Sehoon Ha, Jie Tan,George Tucker,Sergey Levine

robotics science and systems, (2018)

Cited by24EIBibtex

Soft Actor-Critic Algorithms and Applications

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen,George Tucker,Sehoon Ha, Jie Tan,Vikash Kumar, Henry Zhu,Abhishek Gupta,Pieter Abbeel,Sergey Levine

arXiv: Learning, (2018)

Cited by170EIBibtex

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