Vinicius G. Goecks

According to our database, Vinicius G. Goecks authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

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

Re-Envisioning Command and Control.

Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw

Proceedings of the International Conference on Military Communication and Information Systems, 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

Proceedings of the International Conference on Military Communication and Information Systems, 2024

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

Vinicius G. Goecks, Nicholas R. Waytowich

Proceedings of the International Conference on Military Communication and Information Systems, 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

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

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

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

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

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

2020

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems.

Vinicius G. Goecks

CoRR, 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

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

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

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

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018