Vinicius G. Goecks

31 papers A* 1A 1B 1Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mil-SCORE: Benchmarking Long-Context Geospatial Reasoning and Planning in Large Language Models. CoRR Aadi Palnitkar, Mingyang Mao, Nicholas R. Waytowich, Vinicius G. Goecks, Tinoosh Mohsenin, Xiaomin Lin
2025	J	`jnl`	"New" Challenges for Future C2: Commanding Soldier-Machine Partnerships. CoRR Anna Madison, Kaleb McDowell, Vinicius G. Goecks, Jeff Hansberger, Ceili M. Olney, Claire Ahern, Amar R. Marathe, Nicholas R. Waytowich, Christian Kenney, Christopher Kelshaw
2024	J	`jnl`	Atari-GPT: Investigating the Capabilities of Multimodal Large Language Models as Low-Level Policies for Atari Games. CoRR Nicholas R. Waytowich, Devin White, MD Sunbeam, Vinicius G. Goecks
2024	—	`conf`	COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations. ICMCIS Vinicius G. Goecks, Nicholas R. Waytowich
2024	J	`jnl`	COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. CoRR Vinicius G. Goecks, Nicholas R. Waytowich
2024	—	`conf`	Re-Envisioning Command and Control. ICMCIS Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw
2024	J	`jnl`	Re-Envisioning Command and Control. CoRR Kaleb McDowell, Ellen R. Novoseller, Anna Madison, Vinicius G. Goecks, Christopher Kelshaw
2024	—	`conf`	Scalable Interactive Machine Learning for Future Command and Control. ICMCIS 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
2024	J	`jnl`	Scalable Interactive Machine Learning for Future Command and Control. CoRR 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
2023	J	`jnl`	DIP-RL: Demonstration-Inferred Preference Learning in Minecraft. CoRR Ellen R. Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R. Waytowich
2023	J	`jnl`	DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios. CoRR Vinicius G. Goecks, Nicholas R. Waytowich
2023	J	`jnl`	Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions. CoRR Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks, Jared Paquet, Matthew Longmire, Nicholas R. Waytowich, Kevin M. Brink
2023	J	`jnl`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR 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
2022	—	`conf`	Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. AAAI Spring Symposium: MAKE Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash
2022	J	`jnl`	Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II. CoRR Nicholas R. Waytowich, James Zachary Hare, Vinicius G. Goecks, Mark R. Mittrick, John T. Richardson, Anjon Basak, Derrik E. Asher
2022	J	`jnl`	Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR 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
2021	J	`jnl`	Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. CoRR Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash
2021	J	`jnl`	Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2021	J	`jnl`	On games and simulators as a platform for development of artificial intelligence for command and control. CoRR 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
2021	—	`conf`	Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) 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
2021	—	`conf`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection. CoRR Vinicius G. Goecks, Grayson Woods, Niladri Das, John Valasek
2020	J	`jnl`	Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems. CoRR Vinicius G. Goecks
2020	A	`conf`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2020	—	`conf`	PODNet: A Neural Network for Discovery of Plannable Options. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
2019	A*	`conf`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019	J	`jnl`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019	J	`jnl`	PODNet: A Neural Network for Discovery of Plannable Options. CoRR Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
2018	B	`conf`	Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration. IJCNN Vinicius G. Goecks, Gregory M. Gremillion, Hannah C. Lehman, William D. Nothwang
2018	J	`jnl`	Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern
2018	J	`jnl`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich