News
- December 2023 The team I’m part of at the DEVCOM Army Research Laboratory won the 2023 GITEC Award on Advancing Artificial Intelligence and Data Analytics!
- November 2023 Spoke at the University College London - Machine Learning Interest Group about my work on Human-Guided Machine Learning for Multi-Agent and Reinforcement Learning Systems.
- July 2023 Three workshop papers were accepted and presented at the 2023 International Conference on Machine Learning (ICML): using LLMs to generate plans of action in disaster response scenarios (preprint), imitation learning with human eye gaze (preprint), and reinforcement learning from human feedback in Minecraft (preprint).
- July 2023 Presented “Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions” (preprint) at the 2023 IFAC World Congress in Yokohama, Japan.
- March 2023 Our team was awarded the research prize at the NeurIPS 2022 MineRL BASALT competition, Learning from Human Feedback in Minecraft!
- March 2023 Our paper “Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions” was accepted to be presented at the IFAC World Congress 2023. Preprint available here.
- February 2023 Started Senior Fellow position at the DEVCOM Army Research Laboratory, Humans in Complex Systems (HCxS) Division!
- January 2023 Reached 200 research citations, according to Google Scholar.
- December 2022 Our team presented at the NeurIPS 2022 MineRL BASALT competition. Results to be announced soon!
- June 2022 Published “Learning to guide multiple heterogeneous actors from a single human demonstration via automatic curriculum learning in StarCraft II” on the 2022 SPIE Defense + Commercial Sensing conference, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV. Presentation is available here.
- May 2022 Released first working prototype (v1.2.0) of the options trading recommendation system at CMidas Financial.
- May 2022 Released the preprint “Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II” (link).
- April 2022 Co-authored “Retrospective on the 2021 BASALT Competition on Learning from Human Feedback” to appear on the Proceedings of Machine Learning Research.
- March 2022 Published “On games and simulators as a platform for development of artificial intelligence for command and control”, on The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology.
- January 2022 Interviewed by Yannic Kilcher talking about my NeurIPS 2021 MineRL BASALT winning solution. Full video available on YouTube.
- December 2021 Won first place and the award for the most human-like agent at the NeurIPS 2021 MineRL BASALT competition! Check it out our paper for more details on the hybrid intelligence approach we took. The presentation is also available on YouTube.
- November 2021 reached 100 research citations, according to Google Scholar :)
- October 2021 Released the preprint “On games and simulators as a platform for development of artificial intelligence for command and control “ (link).
- October 2021 Submitted solution to the NeurIPS 2021 MineRL BASALT Competition. Currently 2nd position in the public leaderboard!
- August 2021 Joined the NeurIPS 2021 MineRL BASALT Competition, Learning from Human Feedback in Minecraft.
- February 2021 Preprint of paper “Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations” released on arXiv.
- December 2020: Research highlighted at the Aerospace America magazine, 2020 Year in Review.
- December 2020: CMidas Financial is up! Learn more at https://cmidas.com.
- June 2020 My paper “Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection” was selected as the winner of the Automatic Target Recognition Best Student Paper Award during the 2020 SPIE conference!
- May 2020 Started as Postdoctoral Researcher at U.S. Army CCDC Army Research Laboratory, Human Research and Engineering Directorate!
- May 2020 Graduated from Texas A&M University with a Doctor of Philosophy in Aerospace Engineering! My dissertation is available at arXiv.
- March 2020 Preprint of paper “Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection” released on arXiv. Please take a look at the project page for more information.
- January 2020 Paper “Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments” accepted to be presented at AAMAS-20.
- December 2019 Defended my PhD dissertation! Presentation available at Dropbox.
- November 2019 Released the preprint “PODNet: A Neural Network for Discovery of Plannable Options” (link).
- October 2019 Released on the preprint “Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments” (link).
- February 2019 Presented the research work “Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time” (paper), at the AAAI-19 (picture by Rob Meadows).
- December 2018 Approved as PhD candidate!
- December 2018: Research highlighted at the Aerospace America magazine, 2018 Year in Review.
- September 2018 Our hackathon team wins the MD5 A-Hack-of-the-Drones 2018. More information here.
- August 2018 Released the preprint “Cycle-of-Learning for Autonomous Systems from Human Interaction” (link).
- March 2017 Excited to join the Caltech Space Challenge 2017!