ML Anthology
Authors
Search
About
Duan, Yan
14 publications
ICML
2020
Variable Skipping for Autoregressive Range Density Estimation
Eric Liang
,
Zongheng Yang
,
Ion Stoica
,
Pieter Abbeel
,
Yan Duan
,
Peter Chen
NeurIPS
2019
Evaluating Protein Transfer Learning with TAPE
Roshan Rao
,
Nicholas Bhattacharya
,
Neil Thomas
,
Yan Duan
,
Peter Chen
,
John Canny
,
Pieter Abbeel
,
Yun Song
ICML
2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho
,
Xi Chen
,
Aravind Srinivas
,
Yan Duan
,
Pieter Abbeel
ICLR
2018
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach
,
Ignasi Clavera
,
Yan Duan
,
Aviv Tamar
,
Pieter Abbeel
NeurIPS
2018
The Importance of Sampling inMeta-Reinforcement Learning
Bradly Stadie
,
Ge Yang
,
Rein Houthooft
,
Peter Chen
,
Yan Duan
,
Yuhuai Wu
,
Pieter Abbeel
,
Ilya Sutskever
ICLR
2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu
,
Aravind Rajeswaran
,
Yan Duan
,
Vikash Kumar
,
Alexandre M Bayen
,
Sham Kakade
,
Igor Mordatch
,
Pieter Abbeel
NeurIPS
2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
,
Rein Houthooft
,
Davis Foote
,
Adam Stooke
,
OpenAI Xi Chen
,
Yan Duan
,
John Schulman
,
Filip DeTurck
,
Pieter Abbeel
ICLR
2017
Adversarial Attacks on Neural Network Policies
Sandy H. Huang
,
Nicolas Papernot
,
Ian J. Goodfellow
,
Yan Duan
,
Pieter Abbeel
NeurIPS
2017
One-Shot Imitation Learning
Yan Duan
,
Marcin Andrychowicz
,
Bradly Stadie
,
OpenAI Jonathan Ho
,
Jonas Schneider
,
Ilya Sutskever
,
Pieter Abbeel
,
Wojciech Zaremba
ICLR
2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
,
Yan Duan
,
Pieter Abbeel
ICLR
2017
Variational Lossy Autoencoder
Xi Chen
,
Diederik P. Kingma
,
Tim Salimans
,
Yan Duan
,
Prafulla Dhariwal
,
John Schulman
,
Ilya Sutskever
,
Pieter Abbeel
ICML
2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
,
Xi Chen
,
Rein Houthooft
,
John Schulman
,
Pieter Abbeel
NeurIPS
2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
,
Yan Duan
,
Rein Houthooft
,
John Schulman
,
Ilya Sutskever
,
Pieter Abbeel
NeurIPS
2016
VIME: Variational Information Maximizing Exploration
Rein Houthooft
,
Xi Chen
,
Xi Chen
,
Yan Duan
,
John Schulman
,
Filip De Turck
,
Pieter Abbeel