Hengshuai Yao - RankMe

56 papers A* 12A 2Misc 1Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Thin Keys, Full Values: Reducing KV Cache via Low-Dimensional Attention Selection. CoRR Hengshuai Yao, Xing Chen, Ahmed Murtadha, Guan Wang
2026	J	`jnl`	Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xing Chen, Yewen Li, Xiaofeng Cao, Hechang Chen, Hengshuai Yao, Bo An, Yi Chang
2024	J	`jnl`	Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. IEEE Access Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel
2023	J	`jnl`	A new Gradient TD Algorithm with only One Step-size: Convergence Rate Analysis using L-λ Smoothness. CoRR Hengshuai Yao
2023	J	`jnl`	Baird Counterexample Is Solved: with an example of How to Debug a Two-time-scale Algorithm. CoRR Hengshuai Yao
2023	J	`jnl`	Careful at Estimation and Bold at Exploration. CoRR Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang
2023	A*	`conf`	The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
2022	J	`jnl`	Class Interference of Deep Neural Networks. CoRR Dongcui Diao, Hengshuai Yao, Bei Jiang
2022	J	`jnl`	Learning to Accelerate by the Methods of Step-size Planning. CoRR Hengshuai Yao
2022	J	`jnl`	Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
2022	J	`jnl`	The Vanishing Decision Boundary Complexity and the Strong First Component. CoRR Hengshuai Yao
2022	A	`conf`	Understanding and mitigating the limitations of prioritized experience replay. UAI Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
2021	J	`jnl`	A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun
2021	A*	`conf`	Breaking the Deadly Triad with a Target Network. ICML Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
2021	J	`jnl`	Breaking the Deadly Triad with a Target Network. CoRR Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
2021	J	`jnl`	Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. CoRR Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel
2021	J	`jnl`	Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
2021	J	`jnl`	Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong
2021	J	`jnl`	Towards safe, explainable, and regulated autonomous driving. CoRR Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel
2020	J	`jnl`	Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
2020	A*	`conf`	Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. ICRA Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
2020	A*	`conf`	Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation. ICML Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2020	J	`jnl`	Towards a practical measure of interference for reinforcement learning. CoRR Vincent Liu, Adam White, Hengshuai Yao, Martha White
2020	J	`jnl`	Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu
2020	A*	`conf`	Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. IJCAI Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
2020	J	`jnl`	Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs. CoRR Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
2019	A*	`conf`	ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. AAAI Shangtong Zhang, Hengshuai Yao
2019	J	`jnl`	Deep Reinforcement Learning with Decorrelation. CoRR Borislav Mavrin, Hengshuai Yao, Linglong Kong
2019	A*	`conf`	Distributional Reinforcement Learning for Efficient Exploration. ICML Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
2019	J	`jnl`	Distributional Reinforcement Learning for Efficient Exploration. CoRR Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
2019	A	`conf`	Exploration in the Face of Parametric and Intrinsic Uncertainties. AAMAS Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong
2019	A*	`conf`	Hill Climbing on Value Estimates for Search-control in Dyna. IJCAI Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	J	`jnl`	Hill Climbing on Value Estimates for Search-control in Dyna. CoRR Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	J	`jnl`	Is Fast Adaptation All You Need? CoRR Khurram Javed, Hengshuai Yao, Martha White
2019	A*	`conf`	M-estimation in Low-Rank Matrix Factorization: A General Framework. ICDM Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao
2019	J	`jnl`	Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. CoRR Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
2019	J	`jnl`	One-Shot Weakly Supervised Video Object Segmentation. CoRR Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
2019	J	`jnl`	Provably Convergent Off-Policy Actor-Critic with Function Approximation. CoRR Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2019	A*	`conf`	QUOTA: The Quantile Option Architecture for Reinforcement Learning. AAAI Shangtong Zhang, Hengshuai Yao
2019	J	`jnl`	Reinforcing Classical Planning for Adversary Driving Scenarios. CoRR Nazmus Sakib, Hengshuai Yao, Hong Zhang
2018	J	`jnl`	ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search. CoRR Shangtong Zhang, Hao Chen, Hengshuai Yao
2018	J	`jnl`	Negative Log Likelihood Ratio Loss for Deep Neural Network Classification. CoRR Donglai Zhu, Hengshuai Yao, Bei Jiang, Peng Yu
2018	—	`conf`	Practical Issues of Action-Conditioned Next Image Prediction. ITSC Donglai Zhu, Hao Chen, Hengshuai Yao, Masoud S. Nosrati, Peyman Yadmellat, Yunfei Zhang
2018	J	`jnl`	Practical Issues of Action-conditioned Next Image Prediction. CoRR Donglai Zhu, Hao Chen, Hengshuai Yao, Masoud S. Nosrati, Peyman Yadmellat, Yunfei Zhang
2018	J	`jnl`	QUOTA: The Quantile Option Architecture for Reinforcement Learning. CoRR Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao
2014	—	`conf`	Learning to predict trending queries: classification - based. WWW (Companion Volume) Chi-Hoon Lee, Hengshuai Yao, Xu He, Su Han Chan, JieYang Chang, Farzin Maghoul
2014	—	`conf`	Pseudo-MDPs and factored linear action models. ADPRL Hengshuai Yao, Csaba Szepesvári, Bernardo Ávila Pires, Xinhua Zhang
2014	—	`conf`	Universal Option Models. NIPS Hengshuai Yao, Csaba Szepesvári, Richard S. Sutton, Joseph Modayil, Shalabh Bhatnagar
2013	J	`jnl`	Reinforcement Ranking CoRR Hengshuai Yao, Dale Schuurmans
2012	A*	`conf`	Approximate Policy Iteration with Linear Action Models. AAAI Hengshuai Yao, Csaba Szepesvári
2012	J	`jnl`	Discovering and Leveraging the Most Valuable Links for Ranking CoRR Hengshuai Yao
2009	—	`conf`	LMS-2: Towards an algorithm that is as cheap as LMS and almost as efficient as RLS. CDC Hengshuai Yao, Shalabh Bhatnagar, Csaba Szepesvári
2009	—	`conf`	Multi-Step Dyna Planning for Policy Evaluation and Control. NIPS Hengshuai Yao, Richard S. Sutton, Shalabh Bhatnagar, Diao Dongcui, Csaba Szepesvári
2008	Misc	`conf`	Minimal Residual Approaches for Policy Evaluation in Large Sparse Markov Chains. ISAIM Hengshuai Yao, Zhi-Qiang Liu
2008	A*	`conf`	Preconditioned temporal difference learning. ICML Hengshuai Yao, Zhi-Qiang Liu
2006	—	`conf`	Historical Temporal Difference Learning: Some Initial Results. IMSCCS (2) Hengshuai Yao, Diao Dongcui, Zengqi Sun