Vinicius G. Goecks

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Command And Control

Reinforcement Learning

Eligibility Traces

Top Venues

NeurIPS (Competition and Demos)

AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)

Publications

Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw
Re-Envisioning Command and Control. CoRR (2024)
Vinicius G. Goecks, Nicholas R. Waytowich
COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations. ICMCIS (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)
Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw
Re-Envisioning Command and Control. ICMCIS (2024)
Vinicius G. Goecks, Nicholas R. Waytowich
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. 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. 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)
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)
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)
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)
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)
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)
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)
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)
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)
Vinicius G. Goecks
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems. CoRR (2020)
Vinicius G. Goecks, Grayson Woods, Niladri Das, John Valasek
Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection. CoRR (2020)
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)
Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
PODNet: A Neural Network for Discovery of Plannable Options. CoRR (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)
Vinicius G. Goecks, Gregory M. Gremillion, Hannah C. Lehman, William D. Nothwang
Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration. IJCNN (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)