Yan Duan

发表

Variational Information Maximizing Exploration

J. Schulman, P. Abbeel, Rein Houthooft, 2016 .

Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, ArXiv.

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2016, NIPS.

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Motion planning with sequential convex optimization and convex collision checking

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, Int. J. Robotics Res..

Variational Lossy Autoencoder pdf

Pieter Abbeel, Xi Chen, Tim Salimans, 2016, ICLR.

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks pdf

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, ArXiv.

VIME: Variational Information Maximizing Exploration

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines pdf

Alexandre M. Bayen, Pieter Abbeel, Sham M. Kakade, 2018, ICLR.

Stochastic Neural Networks for Hierarchical Reinforcement Learning pdf

Pieter Abbeel, Yan Duan, Carlos Florensa, 2016, ICLR.

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning pdf

Peter L. Bartlett, Pieter Abbeel, Xi Chen, 2016, ArXiv.

Benchmarking Deep Reinforcement Learning for Continuous Control

Pieter Abbeel, Xi Chen, John Schulman, 2016, ICML.

Deep spatial autoencoders for visuomotor learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Model-Ensemble Trust-Region Policy Optimization pdf

Pieter Abbeel, Aviv Tamar, Yan Duan, 2018, ICLR.

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design pdf

Pieter Abbeel, Xi Chen, Yan Duan, 2019, ICML.

Gaussian belief space planning with discontinuities in sensing domains

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Variable Skipping for Autoregressive Range Density Estimation pdf

Pieter Abbeel, Xi Chen, Eric Liang, 2020, ICML.

Some Considerations on Learning to Explore via Meta-Reinforcement Learning pdf

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2018, ICLR 2018.

Adversarial Attacks on Neural Network Policies pdf

Sandy H. Huang, Pieter Abbeel, Nicolas Papernot, 2017, ICLR.

NeuroCard

Xi Chen, Yan Duan, Eric Liang, 2020, Proc. VLDB Endow..

Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach pdf

Vikram Krishnamurthy, Yan Duan, Yan Duan, 2017, ArXiv.

Evaluating Protein Transfer Learning with TAPE

John Canny, Pieter Abbeel, Xi Chen, 2019, bioRxiv.

Under review as a conference paper at ICLR 2017 # Exploration : A Study of Count-Based Exploration for Deep Reinforcement Learning

J. Schulman, P. Abbeel, Rein Houthooft, 2017 .

Deep Autoregressive Models for Join Cardinality Estimation

Yan Duan, Eric Liang, Zongheng Yang, 2020 .

The Importance of Sampling inMeta-Reinforcement Learning

Pieter Abbeel, Peter Chen, Ilya Sutskever, 2018, NeurIPS.

ON NEURAL NETWORK POLICIES

Sandy H. Huang, Ian J. Goodfellow, Nicolas Papernot, 2017 .

One-Shot Imitation Learning

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Meta Learning for Control

Yan Duan, Yan Duan, 2017 .

Deep Unsupervised Cardinality Estimation pdf

Xi Chen, Ion Stoica, Pieter Abbeel, 2019, Proc. VLDB Endow..

Selectivity Estimation with Deep Likelihood Models

P. Abbeel, Xi Chen, Yan Duan, 2019, ArXiv.

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

J. Schulman, P. Abbeel, Rein Houthooft, 2016, NIPS.

RL: FAST REINFORCEMENT LEARNING VIA SLOW REINFORCEMENT LEARNING

J. Schulman, P. Abbeel, P. Bartlett, 2016 .

Deep Unsupervised Cardinality Estimation

P. Abbeel, Yan Duan, S. Krishnan, 2019, Proc. VLDB Endow..