Nicholas R. Waytowich

According to our database, Nicholas R. Waytowich authored at least 65 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Interactive Machine Learning for Future Command and Control.

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

CoRR, 2024

COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations.

Vinicius G. Goecks, Nicholas R. Waytowich

CoRR, 2024

Rating-Based Reinforcement Learning.

Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DIP-RL: Demonstration-Inferred Preference Learning in Minecraft.

Ellen R. Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R. Waytowich

CoRR, 2023

DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios.

Vinicius G. Goecks, Nicholas R. Waytowich

CoRR, 2023

Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions.

Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks, Jared Paquet, Matthew Longmire, Nicholas R. Waytowich, Kevin M. Brink

CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

CoRR, 2023

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments.

Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

ACM Trans. Design Autom. Electr. Syst., 2022

Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control.

Brian Cesar-Tondreau, Garrett Warnell, Kevin Kochersberger, Nicholas R. Waytowich

Robotics, 2022

Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems.

Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Micro, 2022

A Hardware Accelerator for Language-Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Des. Test, 2022

Towards an Interpretable Hierarchical Agent Framework using Semantic Goals.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2022

Multiple View Performers for Shape Completion.

David Watkins-Valls, Peter E. Allen, Krzysztof Choromanski, Jacob Varley, Nicholas R. Waytowich

CoRR, 2022

TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human-Drone Teams.

Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich

CoRR, 2022

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II.

Nicholas R. Waytowich, James Z. Hare, Vinicius G. Goecks, Mark R. Mittrick, John T. Richardson, Anjon Basak, Derrik E. Asher

CoRR, 2022

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback.

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

CoRR, 2022

<i>TagTeam</i>: Towards wearable-assisted, implicit guidance for human-drone teams.

Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich

Proceedings of the SmartWear@MobiCom 2022: Proceedings of the 1st ACM Workshop on Smart Wearable Systems and Applications, 2022

Mobile Manipulation Leveraging Multiple Views.

David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment.

Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation.

Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft.

Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning.

Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Open J. Circuits Syst., 2021

A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks.

Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin

ACM J. Emerg. Technol. Comput. Syst., 2021

Improving Autonomous Robotic Navigation Using Imitation Learning.

Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich

Frontiers Robotics AI, 2021

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft.

Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash

CoRR, 2021

Automatic Goal Generation using Dynamical Distance Learning.

Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates

CoRR, 2021

On games and simulators as a platform for development of artificial intelligence for command and control.

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

CoRR, 2021

Interactive Hierarchical Guidance using Language.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2021

Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations.

Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

CoRR, 2021

Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes.

Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan

IEEE Trans. Signal Process., 2020

Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation.

David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, Peter K. Allen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Energy-Efficient Hardware for Language Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents.

Divya Ramesh, Anthony Z. Liu, Andres J. Echeverria, Jean Y. Song, Nicholas R. Waytowich, Walter S. Lasecki

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments.

Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

PODNet: A Neural Network for Discovery of Plannable Options.

Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich

Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.

Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands.

Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell

CoRR, 2019

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments.

Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

CoRR, 2019

Learning from Observations Using a Single Video Demonstration and Human Feedback.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich

CoRR, 2019

Inferring and Learning Multi-Robot Policies by Observing an Expert.

Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt

CoRR, 2019

On Memory Mechanism in Multi-Agent Reinforcement Learning.

Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah

CoRR, 2019

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning.

Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell

CoRR, 2019

Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning.

Sean L. Barton, Erin G. Zaroukian, Derrik E. Asher, Nicholas R. Waytowich

Proceedings of the Intelligent Human Systems Integration 2019, 2019

On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.

Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention.

Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Investigating Evoked EEG Responses to Targets Presented in Virtual Reality.

Pawan Lapborisuth, Josef Faller, Jonathan Koss, Nicholas R. Waytowich, Jonathan Touryan, Paul Sajda

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Learning Behaviors from a Single Video Demonstration Using Human Feedback.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time.

Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Cycle-of-Learning for Autonomous Systems from Human Interaction.

Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern

CoRR, 2018

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials.

Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel

CoRR, 2018

Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning.

Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher

Proceedings of the Human Systems Engineering and Design, 2018

Energy Efficient Convolutional Neural Networks for EEG Artifact Detection.

Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

Coordination-driven Learning in Multi-agent Problem Spaces.

Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.

Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Development of an extensible SSVEP-BCI software platform and application to wheelchair control.

Nicholas R. Waytowich, Dean J. Krusienski

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016

Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli.

Nicholas R. Waytowich, Dean J. Krusienski

IEEE Trans. Hum. Mach. Syst., 2016

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces.

Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance

CoRR, 2016

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction.

Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw

Computer, 2016

Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces.

Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Collaborative image triage with humans and computer vision.

Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2011

The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control.

Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011