Xi Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Markov Decision Problems

Reinforcement Learning

Top Venues

Publications

Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen
Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. CoRR (2024)
Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen
Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. ICRA (2024)
Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN. ICRA (2023)
Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. CoRR (2023)
Yuxuan Liu, Xi Chen, Pieter Abbeel
Self-Supervised Instance Segmentation by Grasping. IROS (2023)
Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. CoRR (2022)
Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. ECCV (10) (2022)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. ICML (2020)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. 14 (1) (2020)
Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. ICML (2019)
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. CoRR (2019)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Selectivity Estimation with Deep Likelihood Models. CoRR (2019)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. NeurIPS (2019)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML (2019)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13 (3) (2019)
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel
PixelSNAIL: An Improved Autoregressive Generative Model. ICML (2018)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. ICLR (Poster) (2018)
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR (2018)
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel
PixelSNAIL: An Improved Autoregressive Generative Model. ICLR (Workshop) (2018)
Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation. ICRA (2018)
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS (2018)
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Parameter Space Noise for Exploration. ICLR (Poster) (2018)
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel
A Simple Neural Attentive Meta-Learner. ICLR (Poster) (2018)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. ICLR (Poster) (2017)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. CoRR (2017)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. NIPS (2017)
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Parameter Space Noise for Exploration. CoRR (2017)
Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications. CoRR (2017)
William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel
Safer Classification by Synthesis. CoRR (2017)
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel
PixelSNAIL: An Improved Autoregressive Generative Model. CoRR (2017)
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel
Meta-Learning with Temporal Convolutions. CoRR (2017)
John Schulman, Pieter Abbeel, Xi Chen
Equivalence Between Policy Gradients and Soft Q-Learning. CoRR (2017)
Nithyanand Kota, Abhishek Mishra, Sunil Srinivasa, Xi Chen, Pieter Abbeel
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms. CoRR (2017)
Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications. ICLR (Poster) (2017)
Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever
Evolution Strategies as a Scalable Alternative to Reinforcement Learning. CoRR (2017)
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
Improved Techniques for Training GANs. CoRR (2016)
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks. CoRR (2016)
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS (2016)
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
Benchmarking Deep Reinforcement Learning for Continuous Control. ICML (2016)
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel
Benchmarking Deep Reinforcement Learning for Continuous Control. CoRR (2016)
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
VIME: Variational Information Maximizing Exploration. NIPS (2016)
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. CoRR (2016)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. CoRR (2016)
Diederik P. Kingma, Tim Salimans, Rafal Józefowicz, Xi Chen, Ilya Sutskever, Max Welling
Improving Variational Autoencoders with Inverse Autoregressive Flow. NIPS (2016)
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
Improved Techniques for Training GANs. NIPS (2016)
Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning. CoRR (2016)
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel
Variational Lossy Autoencoder. CoRR (2016)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing. ICML (2015)