Liu Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning	2024	Yiming Ji Kaijie Yun Liu Yang Zongwu Xie Hong Liu
+ PDF Chat	Reinforcement Learning-based Product Delivery Frequency Control	2021	Liu Yang Zhengxing Chen Kittipat Virochsiri Juan Wang Jiahao Wu Liang Feng

Common Coauthors

Coauthor	Papers Together
Zongwu Xie	1
Zhengxing Chen	1
Kittipat Virochsiri	1
Juan Wang	1
Hong Liu	1
Liang Feng	1
Yiming Ji	1
Kaijie Yun	1
Jiahao Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Markovian Decision Process	1957	Richard Bellman	1
+ PDF Chat	Online Stochastic Matching: Beating 1-1/e	2009	Jon Feldman Aranyak Mehta Vahab Mirrokni S. Muthukrishnan	1
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2017	Aravind Rajeswaran Vikash Kumar Abhishek Gupta John Schulman Emanuel Todorov Sergey Levine	1
+	Deep reinforcement learning for page-wise recommendations	2018	Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin Jiliang Tang	1
+	Horizon: Facebook's Open Source Applied Reinforcement Learning Platform	2018	Jason Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye	1
+	Dueling Network Architectures for Deep Reinforcement Learning	2015	Ziyu Wang Tom Schaul Matteo Hessel Hado van Hasselt Marc Lanctot Nando de Freitas	1
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2018	Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman Emanuel Todorov Sergey Levine	1
+	Reinforcement Learning Applications	2019	Yuxi Li	1
+ PDF Chat	Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising	2018	Di Wu Xiujun Chen Xun Yang Hao Wang Qing Tan Xiaoxun Zhang Jian Xu Kun Gai	1
+ PDF Chat	Real-Time Bidding by Reinforcement Learning in Display Advertising	2017	Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu Defeng Guo	1