Chao Qu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes	2023	Chao Qu Xiaoyu Tan Siqiao Xue Xiaoming Shi James Zhang Hongyuan Mei
+	LLOL: Low-Latency Odometry for Spinning Lidars	2021	Chao Qu Shreyas S. Shivakumar Wenxin Liu Camillo J. Taylor
+	Variational Policy Propagation for Multi-agent Reinforcement Learning	2020	Chao Qu Hui Li Chang Liu Junwu Xiong James Zhang Wei Chu Weiqiang Wang Yuan Qi Le Song
+	SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory	2019	Steven W. Chen Guilherme V. Nardari Elijah S. Lee Chao Qu Xu Liu Roseli Aparecida Francelin Romero Vijay Kumar
+	Linear Convergence of SVRG in Statistical Estimation	2016	Chao Qu Yan Li Huan Xu

Common Coauthors

Coauthor	Papers Together
James Zhang	2
Xu Liu	1
Vijay Kumar	1
Camillo J. Taylor	1
Xiaoyu Tan	1
Elijah S. Lee	1
Guilherme V. Nardari	1
Hongyuan Mei	1
Steven W. Chen	1
Siqiao Xue	1
Roseli Aparecida Francelin Romero	1
Chang Liu	1
Yan Li	1
Wenxin Liu	1
Yuan Qi	1
Huan Xu	1
Le Song	1
Hui Li	1
Wei Chu	1
Xiaoming Shi	1
Weiqiang Wang	1
Shreyas S. Shivakumar	1
Junwu Xiong	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	When-To-Post on Social Networks	2015	Nemanja Spasojevic Zhisheng Li Adithya Rao Prantik Bhattacharyya	1
+	Action-Conditional Video Prediction using Deep Networks in Atari Games	2015	Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh	1
+ PDF Chat	On Lewis' simulation method for point processes	1981	Patricia Reynaud-Bouret Vincent Rivoirard Franck Grammont Christine Tuleau-Malot	1
+	Hierarchical Decision Making In Electricity Grid Management	2016	Gal Dalal Elad Gilboa Shie Mannor	1
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	1
+	The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process	2016	Hongyuan Mei Jason Eisner	1
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	1
+	Fake News Mitigation via Point Process Based Intervention	2017	Mehrdad Farajtabar Jiachen Yang Xiaojing Ye Huan Xu Rakshit Trivedi Elias B. Khalil Shuang Li Le Song Hongyuan Zha	1
+	A Tutorial on Hawkes Processes for Events in Social Media	2017	Marian-Andrei Rizoiu Young Lee Swapnil Mishra Lexing Xie	1
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Steering Social Activity: A Stochastic Optimal Control Point Of View	2018	Ali Zarezade Abir De Utkarsh Upadhyay Hamid R. Rabiee Manuel Gomez-Rodriguez	1
+	World Models	2018	David Ha Jürgen Schmidhuber	1
+	Lecture Notes: Temporal Point Processes and the Conditional Intensity Function	2018	Jakob Gulddahl Rasmussen	1
+	Deep Reinforcement Learning with Double Q-learning	2015	Hado van Hasselt Arthur Guez David Silver	1
+	A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop	2016	Yichen Wang Evangelos A. Theodorou Apurv Verma Le Song	1
+	Learning continuous control policies by stochastic value gradients	2015	Nicolas Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez	1
+	Stabilizing Transformers for Reinforcement Learning	2019	Emilio Parisotto Hao Song Jack W. Rae Razvan Pascanu Çaǧlar Gülçehre Siddhant M. Jayakumar Max Jaderberg Raphaël Lopez Kaufman Aidan Clark Seb Noury	1
+	Soft Actor-Critic for Discrete Action Settings	2019	Petros Christodoulou	1
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	1
+	Transformer Hawkes Process	2020	Simiao Zuo Haoming Jiang Zichong Li Tuo Zhao Hongyuan Zha	1
+	Self-Attentive Hawkes Process	2020	Qiang Zhang Aldo Lipani Ömer Kırnap Emine Yılmaz	1
+	Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs	2020	Jianzhun Du Joseph Futoma Finale Doshi‐Velez	1
+ PDF Chat	A Graph Regularized Point Process Model For Event Propagation Sequence	2021	Siqiao Xue Xiaoming Shi Hongyan Hao Lintao Ma James Zhang Shiyu Wang Shijun Wang	1
+	A cluster process representation of a self-exciting process	1974	Alan G. Hawkes David Oakes	1
+	Continuous-Time Model-Based Reinforcement Learning	2021	Çağatay Yıldız Markus Heinonen Harri Lähdesmäki	1
+	When to Trust Your Model: Model-Based Policy Optimization	2019	Michael Jänner Justin Fu Marvin Zhang Sergey Levine	1
+	Learning Latent Dynamics for Planning from Pixels	2018	Danijar Hafner Timothy Lillicrap Ian Fischer Ruben Villegas David Ha Honglak Lee James Davidson	1
+	Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving	2016	Shai Shalev‐Shwartz Shaked Shammah Amnon Shashua	1
+	HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences	2022	Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	1