Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration. - Vinicius G. Goecks; Gregory M. Gremillion; Hannah C. Lehman; William D. Nothwang (IJCNN, 2018)

Cycle-of-Learning for Autonomous Systems from Human Interaction. - Nicholas R. Waytowich; Vinicius G. Goecks; Vernon J. Lawhern (CoRR, 2018)

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 (AAAI, 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)

PODNet: A Neural Network for Discovery of Plannable Options. - Ritwik Bera; Vinicius G. Goecks; Gregory M. Gremillion; John Valasek; Nicholas R. Waytowich (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 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 (AAMAS, 2020)

Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection. - Vinicius G. Goecks; Grayson Woods; Niladri Das; John Valasek (CoRR, 2020)

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems. - Vinicius G. Goecks (CoRR, 2020)

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; et al. (NeurIPS (Competition and Demos), 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; et al. (NeurIPS (Competition and Demos), 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)

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)

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)

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 (AAAI Spring Symposium: MAKE, 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; et al. (CoRR, 2022)

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II. - Nicholas R. Waytowich; James Zachary Hare; Vinicius G. Goecks; Mark R. Mittrick; John T. Richardson; Anjon Basak; Derrik E. Asher (CoRR, 2022)

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; et al. (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)

DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios. - Vinicius G. Goecks; Nicholas R. Waytowich (CoRR, 2023)

DIP-RL: Demonstration-Inferred Preference Learning in Minecraft. - Ellen R. Novoseller; Vinicius G. Goecks; David Watkins; Josh Miller; Nicholas R. Waytowich (CoRR, 2023)

COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations. - Vinicius G. Goecks; Nicholas R. Waytowich (ICMCIS, 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 (ICMCIS, 2024)

Re-Envisioning Command and Control. - Kaleb McDowell; Ellen R. Novoseller; Anna Madison; Vinicius G. Goecks; Christopher Kelshaw (ICMCIS, 2024)

Atari-GPT: Investigating the Capabilities of Multimodal Large Language Models as Low-Level Policies for Atari Games. - Nicholas R. Waytowich; Devin White; MD Sunbeam; Vinicius G. Goecks (CoRR, 2024)

"New" Challenges for Future C2: Commanding Soldier-Machine Partnerships. - Anna Madison; Kaleb McDowell; Vinicius G. Goecks; Jeff Hansberger; Ceili M. Olney; Claire Ahern; Amar R. Marathe; Nicholas R. Waytowich; Christian Kenney; Christopher Kelshaw (CoRR, 2025)