Vernon Lawhern

17 papers A* 1B 4Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Task Reward Learning from Human Ratings. CoRR Mingkang Wu, Devin White, Evelyn Rose, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2025	J	`jnl`	Performance Optimization of Ratings-Based Reinforcement Learning. CoRR Evelyn Rose, Devin White, Mingkang Wu, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2025	J	`jnl`	RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning. CoRR Mingkang Wu, Devin White, Vernon Lawhern, Nicholas R. Waytowich, Yongcan Cao
2019	J	`jnl`	A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
2019	J	`jnl`	Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
2018	B	`conf`	Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings. SMC Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel, Vernon Lawhern
2018	J	`jnl`	Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel
2018	A*	`conf`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2017	—	`conf`	Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task. NTCIR Amelia J. Solon, Stephen M. Gordon, Brent Lance, Vernon Lawhern
2017	J	`jnl`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2015	B	`conf`	Efficient Labeling of EEG Signal Artifacts Using Active Learning. SMC Vernon Lawhern, David Slayback, Dongrui Wu, Brent J. Lance
2015	—	`conf`	How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems. HCI (15) W. David Hairston, Vernon Lawhern
2015	B	`conf`	Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments. SMC Justin Brooks, David Slayback, Benjamin Shih, Amar R. Marathe, Vernon Lawhern, Brent J. Lance
2014	—	`conf`	Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang
2014	B	`conf`	Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials. SMC Dongrui Wu, Brent Lance, Vernon Lawhern
2013	—	`conf`	Optimal Feature Selection for Artifact Classification in EEG Time Series. HCI (24) Vernon Lawhern, W. David Hairston, Kay Robbins
2012	J	`jnl`	Coupling time decoding and trajectory decoding using a target-included model in the motor cortex. Neurocomputing Vernon Lawhern, Nicholas G. Hatsopoulos, Wei Wu