Shixiang Gu

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Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning pdf

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, Robotics: Science and Systems.

SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies

Richard S. Zemel, Seyed Kamyar Seyed Ghasemipour, Shixiang Gu, 2019, NeurIPS.

Generating Music by Fine-Tuning Recurrent Neural Networks with Reinforcement Learning

Douglas Eck, Richard E. Turner, Natasha Jaques, 2016 .

Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Sergey Levine, Shixiang Gu, Ethan Holly, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Categorical Reparameterization with Gumbel-Softmax pdf

Ben Poole, Shixiang Gu, Eric Jang, 2016, ICLR.

Sample-efficient deep reinforcement learning for continuous control

Shixiang Gu, S. Gu, 2019 .

Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning pdf

Sergey Levine, Shixiang Gu, Julian Ibarz, 2017, ICLR.

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization pdf

Yutaka Matsuo, Tatsuya Matsushima, Ofir Nachum, 2020, ICLR.

Continuous Deep Q-Learning with Model-based Acceleration pdf

Sergey Levine, Ilya Sutskever, Shixiang Gu, 2016, ICML.

Realtime HDR (High Dynamic Range) video for eyetap wearable computers, FPGA-based seeing aids, and glasseyes (EyeTaps)

Steve Mann, Kalin Ovtcharov, Shixiang Gu, 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Data-Efficient Hierarchical Reinforcement Learning

Sergey Levine, Honglak Lee, Ofir Nachum, 2018, NeurIPS.

Dynamics-Aware Unsupervised Discovery of Skills pdf

Sergey Levine, Karol Hausman, Vikash Kumar, 2019, ICLR.

Dynamics-Aware Unsupervised Skill Discovery

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, ICLR 2020.

Particle Gibbs for Infinite Hidden Markov Models

Zoubin Ghahramani, Nilesh Tripuraneni, Hong Ge, 2015, NIPS.

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning pdf

Sergey Levine, Honglak Lee, Ofir Nachum, 2018, ICLR.

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

Chelsea Finn, Kevin Murphy, Yiding Jiang, 2019, NeurIPS.

Weakly-Supervised Reinforcement Learning for Controllable Behavior pdf

Ruslan Salakhutdinov, Chelsea Finn, Shixiang Gu, 2020, NeurIPS.

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control

Richard E. Turner, Natasha Jaques, José Miguel Hernández-Lobato, 2016, ICML.

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic pdf

Sergey Levine, Richard E. Turner, Zoubin Ghahramani, 2016, ICLR.

Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog

Natasha Jaques, Àgata Lapedriza, Rosalind W. Picard, 2019 .

Neural Adaptive Sequential Monte Carlo

Richard E. Turner, Zoubin Ghahramani, Shixiang Gu, 2015, NIPS.

TRL: Discriminative Hints for Scalable Reverse Curriculum Learning

Chen Wang, Cewu Lu, Jialu Wang, 2018 .

MuProp: Unbiased Backpropagation for Stochastic Neural Networks pdf

Sergey Levine, Ilya Sutskever, Andriy Mnih, 2015, ICLR.

Tuning Recurrent Neural Networks with Reinforcement Learning pdf

Douglas Eck, Richard E. Turner, Natasha Jaques, 2016, ICLR.

The Mirage of Action-Dependent Baselines in Reinforcement Learning pdf

Sergey Levine, Richard E. Turner, Zoubin Ghahramani, 2018, ICML.

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog pdf

Natasha Jaques, Rosalind W. Picard, Shixiang Gu, 2019, ArXiv.

Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives pdf

George Tucker, Chris J. Maddison, Shixiang Gu, 2019, ICLR.

Categorical Reparametrization with Gumble-Softmax

Ben Poole, Shixiang Gu, Eric Jang, 2017, ICLR 2017.

Deep Reinforcement Learning for Robotic Manipulation pdf

Sergey Levine, Shixiang Gu, Ethan Holly, 2016, ArXiv.

General model for stage–discharge prediction in multi-stage compound channels

Gang Chen, Shixiang Gu, Wenxin Huai, 2018, Journal of Hydraulic Research.

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

Richard E. Turner, Zoubin Ghahramani, Bernhard Scholkopf, 2017, NIPS.

Towards Deep Neural Network Architectures Robust to Adversarial Examples pdf

Luca Rigazio, Shixiang Gu, S. Gu, 2014, ICLR.

A Divergence Minimization Perspective on Imitation Learning Methods

Richard Zemel, Seyed Kamyar Seyed Ghasemipour, Shixiang Gu, 2019, CoRL.

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? pdf

Sergey Levine, Honglak Lee, Ofir Nachum, 2019, ArXiv.

Temporal Difference Models: Model-Free Deep RL for Model-Based Control pdf

Sergey Levine, Shixiang Gu, Vitchyr Pong, 2018, ICLR.

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real pdf

Vikash Kumar, Ofir Nachum, Hugo Ponte, 2019, CoRL.