Nicholas R. Waytowich

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Command And Control

Reinforcement Learning

Convolutional Neural Networks

Top Venues

Publications

Vinicius G. Goecks, Nicholas R. Waytowich
COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations. ICMCIS (2024)
Ahaan Dabholkar, James Z. Hare, Mark R. Mittrick, John T. Richardson, Nicholas R. Waytowich, Priya Narayanan, Saurabh Bagchi
Adversarial Attacks on Reinforcement Learning Agents for Command and Control. CoRR (2024)
Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
Scalable Interactive Machine Learning for Future Command and Control. CoRR (2024)
Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CoRR (2024)
Vinicius G. Goecks, Nicholas R. Waytowich
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. CoRR (2024)
Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-Based Reinforcement Learning. AAAI (2024)
Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell
Scalable Interactive Machine Learning for Future Command and Control. ICMCIS (2024)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments. CVPR (2023)
Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks, Jared Paquet, Matthew Longmire, Nicholas R. Waytowich, Kevin M. Brink
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions. CoRR (2023)
Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
Rating-based Reinforcement Learning. CoRR (2023)
Ellen R. Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R. Waytowich
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft. CoRR (2023)
Vinicius G. Goecks, Nicholas R. Waytowich
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios. CoRR (2023)
Nicholas R. Waytowich, James Hare, Vinicius G. Goecks, Mark R. Mittrick, John T. Richardson, Anjon Basak, Derrik E. Asher
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II. CoRR (2022)
Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin
Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. IEEE Micro 42 (6) (2022)
Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich
TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human-Drone Teams. CoRR (2022)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39 (3) (2022)
Brian Cesar-Tondreau, Garrett Warnell, Kevin Kochersberger, Nicholas R. Waytowich
Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. Robotics 11 (4) (2022)
Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich
: Towards wearable-assisted, implicit guidance for human-drone teams. SmartWear@MobiCom (2022)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR (2022)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR (2022)
Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich
PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment. ICMLA (2022)
Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash
Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. AAAI Spring Symposium: MAKE (2022)
David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley
Mobile Manipulation Leveraging Multiple Views. IROS (2022)
Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin
An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. AICAS (2022)
David Watkins-Valls, Peter E. Allen, Krzysztof Choromanski, Jacob Varley, Nicholas R. Waytowich
Multiple View Performers for Shape Completion. CoRR (2022)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR (2021)
David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley
Mobile Manipulation Leveraging Multiple Views. CoRR (2021)
Vinicius G. Goecks, Nicholas R. Waytowich, Derrik E. Asher, Song Jun Park, Mark R. Mittrick, John T. Richardson, Manuel Vindiola, Anne Logie, Mark Dennison, Theron Trout, Priya Narayanan, Alexander Kott
On games and simulators as a platform for development of artificial intelligence for command and control. CoRR (2021)
Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers Robotics AI 8 (2021)
Mohit Khatwani, Hasib-Al-Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. CoRR (2021)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) (2021)
Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS (2021)
Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
Automatic Goal Generation using Dynamical Distance Learning. CoRR (2021)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Interactive Hierarchical Guidance using Language. CoRR (2021)
Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2 (2021)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS (2020)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
PODNet: A Neural Network for Discovery of Plannable Options. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI (2020)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2020)
Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. 68 (2020)
Divya Ramesh, Anthony Z. Liu, Andres J. Echeverria, Jean Y. Song, Nicholas R. Waytowich, Walter S. Lasecki
Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents. AAMAS (2020)
David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. IROS (2020)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2019)
Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR (2019)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS Conference (2019)
Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR (2019)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR (2019)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR (2019)
David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. CoRR (2019)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
PODNet: A Neural Network for Discovery of Plannable Options. CoRR (2019)
Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt
Inferring and Learning Multi-Robot Policies by Observing an Expert. CoRR (2019)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR (2019)
Sean L. Barton, Erin G. Zaroukian, Derrik E. Asher, Nicholas R. Waytowich
Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning. IHSI (2019)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI (2019)
Pawan Lapborisuth, Josef Faller, Jonathan Koss, Nicholas R. Waytowich, Jonathan Touryan, Paul Sajda
Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. EMBC (2019)
Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR (2019)
Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher
Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning. IHSED (2018)
Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR (2018)
Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS (2018)
Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher
Coordination-driven learning in multi-agent problem spaces. CoRR (2018)
Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher
Coordination-driven Learning in Multi-agent Problem Spaces. AAAI Fall Symposium: ALEC (2018)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI (2018)
Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher
Measuring collaborative emergent behavior in multi-agent reinforcement learning. CoRR (2018)
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR (2018)
Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern
Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR (2018)
Nicholas R. Waytowich, Dean J. Krusienski
Development of an extensible SSVEP-BCI software platform and application to wheelchair control. NER (2017)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR (2017)
Nicholas R. Waytowich, Dean J. Krusienski
Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli. IEEE Trans. Hum. Mach. Syst. 46 (4) (2016)
Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance
Collaborative image triage with humans and computer vision. SMC (2016)
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR (2016)
Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda
Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces. SMC (2016)
Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer 49 (9) (2016)
Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski
The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control. HCI (20) (2011)