Vincent Liu - RankMe

36 papers A* 5A 1C 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A systematic review of intelligent and robot tutoring systems: evolution, pedagogical design, and AI-driven classification. Smart Learn. Environ. Ehsan Latif, Vincent Liu, Xiaoming Zhai
2025	J	`jnl`	A Hamilton-Jacobi-Bellman Approach to Ellipsoidal Approximations of Reachable Sets for Linear Time-Varying Systems. IEEE Trans. Autom. Control. Vincent Liu, Chris Manzie, Peter M. Dower
2025	J	`jnl`	Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits. CoRR Kushagra Chandak, Vincent Liu, Haanvid Lee
2025	J	`jnl`	EgoZero: Robot Learning from Smart Glasses. CoRR Vincent Liu, Ademi Adeniji, Haotian Zhan, Raunaq M. Bhirangi, Pieter Abbeel, Lerrel Pinto
2025	J	`jnl`	Feel the Force: Contact-Driven Learning from Humans. CoRR Ademi Adeniji, Zhuoran Chen, Vincent Liu, Venkatesh Pattabiraman, Raunaq M. Bhirangi, Siddhant Haldar, Pieter Abbeel, Lerrel Pinto
2024	C	`conf`	Efficient Value Function Upper Bounds for a Class of Constrained Linear Time-Varying Optimal Control Problems. ACC Vincent Liu, Chris Manzie, Peter M. Dower
2024	A*	`conf`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI Vincent Liu, James R. Wright, Martha White
2024	J	`jnl`	Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2024	A*	`conf`	Switching the Loss Reduces the Cost in Batch Reinforcement Learning. ICML Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2024	J	`jnl`	Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2024	J	`jnl`	Under the Surface: Tracking the Artifactuality of LLM-Generated Data. CoRR Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang
2023	A	`conf`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. AISTATS Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	J	`jnl`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	J	`jnl`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. Vincent Liu, James R. Wright, Martha White
2023	—	`conf`	Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2023	J	`jnl`	Measuring and Mitigating Interference in Reinforcement Learning. CoRR Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2023	J	`jnl`	When is Offline Policy Selection Sample Efficient for Reinforcement Learning? CoRR Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White
2022	C	`conf`	Constraint Handling of an Airbreathing Hypersonic Vehicle via Predictive Reference Management. ACC Vincent Liu, Chris Manzie, Peter M. Dower
2022	A*	`conf`	DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision. NeurIPS Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah D. Goodman
2022	J	`jnl`	Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2022	J	`jnl`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2022	J	`jnl`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2021	J	`jnl`	DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. CoRR Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman
2021	—	`conf`	DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning. NeurIPS Datasets and Benchmarks Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman
2021	J	`jnl`	Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR Vincent Liu, James R. Wright, Martha White
2021	—	`conf`	Linear System Security: Detection and Correction of Adversarial Attacks on a Quanser AERO System. ECC Vincent Liu, Margreta Kuijper
2020	J	`jnl`	Towards a practical measure of interference for reinforcement learning. CoRR Vincent Liu, Adam White, Hengshuai Yao, Martha White
2020	A*	`conf`	Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White
2019	J	`jnl`	Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
2019	J	`jnl`	Incrementally Learning Functions of the Return. CoRR Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu
2019	J	`jnl`	Recurrent Control Nets for Deep Reinforcement Learning. CoRR Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji
2019	A*	`conf`	The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2019	J	`jnl`	The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu, Vidur Garg, Roshan Sharma, Claire S. Simon, Nestor Saiz, Rui Gardner, Stéphane C. Boutet, Deanna M. Church, Pamela A. Hoodless, Anna-Katerina Hadjantonakis, Dana Pe'er
2018	J	`jnl`	Attribute-aware Collaborative Filtering: Survey and Classification. CoRR Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
2018	J	`jnl`	The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2010	—	`ed.`	E-business Technology and Strategy - International Conference, CETS 2010, Ottawa, Canada, September 29-30, 2010. Proceedings CETS Marzia Zaman, Yawei Liang, Sohail M. Siddiqui, Tim Wang, Vincent Liu, Ceecee Lu