Jacob presented at the RLC 2024 CoCoMARL Workshop!
Jacob gave a poster presentation of our paper “Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning” at the Coordination ...
Posts by Tag
- multi-agent systems 11
- reinforcement learning 11
- artificial intelligence 10
- robotics 5
- machine learning 3
- data science 2
- resilient systems 2
- network theory 2
- controls 1
- intelligent transportation systems 1
- systems engineering 1
multi-agent systems
We are awarded funding from the NASA TTT program!
Our project titled “Learning from Existing Systems for Emergent Coordination in Future Air Mobility” is selected for funding by NASA’s Transformational Tools...
Our work on ad hoc teaming was accepted to the IROS 2023 Multi-Agent Learning Workshop!
Our paper “Coordination in Ad Hoc Teams with Generalized Policy Improvement” was accepted for a 5 minute lightning talk at the IROS 2023 Multi-Agent Learning...
Huy gave an invited workshop talk at RSS 2023!
Huy gave an invited talk at the RSS 2023 Inference and Decision Making for Autonomous Vehicles Workshop. The talk was titled “Learning for Decision Making in...
Huy gave an invited workshop talk at IROS 2022!
Huy gave an invited talk at the IROS 2022 Decision Making in Multi-agent Systems Workshop. The talk was titled “On Utilities for Cooperative Multi-agent RL.”...
Our work on hierarchical RL was accepted to ALA Workshop 2022!
Our paper “Feature Specialization and Clustering Improves Hierarchical Subtask Learning” was accepted for presentation at the Adaptive Learning Agents (ALA) ...
Our work on SFs for MARL was accepted to AAMAS 2022!
Our paper “Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning” was accepted for publication as a full paper and oral pre...
We are awarded funding from the ARL A2I2 program!
Our project titled “Robust and Adaptive Autonomy for Multi-agent Maneuvers (RAAMM)” is selected for funding by the ARL A2I2 program! AI/ML systems for Army m...
We are awarded funding from the ONR Science of AI program!
Our project titled “Explainable AI for Mission Planning and Execution with Interpretable Courses of Action” is selected for funding by the ONR Science of AI ...
Our work on hierarchical RL was accepted to ICRA 2020!
Our paper “Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning” was accepted at the 2020 IEEE International Conference on Robotics ...
We are awarded funding from DARPA!
Our project titled “A Demonstration Platform for Dynamic Mission Planning with Multi-domain Autonomous Systems” is selected for funding by the DARPA STO prog...
reinforcement learning
Jacob presented at the RLC 2024 CoCoMARL Workshop!
Jacob gave a poster presentation of our paper “Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning” at the Coordination ...
We are awarded funding from the NASA TTT program!
Our project titled “Learning from Existing Systems for Emergent Coordination in Future Air Mobility” is selected for funding by NASA’s Transformational Tools...
Our work on ad hoc teaming was accepted to the IROS 2023 Multi-Agent Learning Workshop!
Our paper “Coordination in Ad Hoc Teams with Generalized Policy Improvement” was accepted for a 5 minute lightning talk at the IROS 2023 Multi-Agent Learning...
Huy gave an invited workshop talk at RSS 2023!
Huy gave an invited talk at the RSS 2023 Inference and Decision Making for Autonomous Vehicles Workshop. The talk was titled “Learning for Decision Making in...
Huy gave an invited workshop talk at IROS 2022!
Huy gave an invited talk at the IROS 2022 Decision Making in Multi-agent Systems Workshop. The talk was titled “On Utilities for Cooperative Multi-agent RL.”...
Our work on hierarchical RL was accepted to ALA Workshop 2022!
Our paper “Feature Specialization and Clustering Improves Hierarchical Subtask Learning” was accepted for presentation at the Adaptive Learning Agents (ALA) ...
Our work on SFs for MARL was accepted to AAMAS 2022!
Our paper “Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning” was accepted for publication as a full paper and oral pre...
We are awarded funding from the ARL A2I2 program!
Our project titled “Robust and Adaptive Autonomy for Multi-agent Maneuvers (RAAMM)” is selected for funding by the ARL A2I2 program! AI/ML systems for Army m...
We are awarded funding from the ONR Science of AI program!
Our project titled “Explainable AI for Mission Planning and Execution with Interpretable Courses of Action” is selected for funding by the ONR Science of AI ...
Our work on hierarchical RL was accepted to ICRA 2020!
Our paper “Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning” was accepted at the 2020 IEEE International Conference on Robotics ...
We are awarded funding from DARPA!
Our project titled “A Demonstration Platform for Dynamic Mission Planning with Multi-domain Autonomous Systems” is selected for funding by the DARPA STO prog...
artificial intelligence
Jacob presented at the RLC 2024 CoCoMARL Workshop!
Jacob gave a poster presentation of our paper “Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning” at the Coordination ...
We are awarded funding from the NASA TTT program!
Our project titled “Learning from Existing Systems for Emergent Coordination in Future Air Mobility” is selected for funding by NASA’s Transformational Tools...
Our work on ad hoc teaming was accepted to the IROS 2023 Multi-Agent Learning Workshop!
Our paper “Coordination in Ad Hoc Teams with Generalized Policy Improvement” was accepted for a 5 minute lightning talk at the IROS 2023 Multi-Agent Learning...
Huy gave an invited workshop talk at RSS 2023!
Huy gave an invited talk at the RSS 2023 Inference and Decision Making for Autonomous Vehicles Workshop. The talk was titled “Learning for Decision Making in...
Huy gave an invited workshop talk at IROS 2022!
Huy gave an invited talk at the IROS 2022 Decision Making in Multi-agent Systems Workshop. The talk was titled “On Utilities for Cooperative Multi-agent RL.”...
Our work on hierarchical RL was accepted to ALA Workshop 2022!
Our paper “Feature Specialization and Clustering Improves Hierarchical Subtask Learning” was accepted for presentation at the Adaptive Learning Agents (ALA) ...
Our work on SFs for MARL was accepted to AAMAS 2022!
Our paper “Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning” was accepted for publication as a full paper and oral pre...
We are awarded funding from the ARL A2I2 program!
Our project titled “Robust and Adaptive Autonomy for Multi-agent Maneuvers (RAAMM)” is selected for funding by the ARL A2I2 program! AI/ML systems for Army m...
We are awarded funding from the ONR Science of AI program!
Our project titled “Explainable AI for Mission Planning and Execution with Interpretable Courses of Action” is selected for funding by the ONR Science of AI ...
We are awarded funding from DARPA!
Our project titled “A Demonstration Platform for Dynamic Mission Planning with Multi-domain Autonomous Systems” is selected for funding by the DARPA STO prog...
robotics
Our work on robot navigation was accepted to RA-L!
Our paper “WayFAST: Navigation with Predictive Traversability in the Field” was accepted for publication in IEEE RA-L! We present a new method for robot navi...
We are awarded funding from the ARL A2I2 program!
Our project titled “Robust and Adaptive Autonomy for Multi-agent Maneuvers (RAAMM)” is selected for funding by the ARL A2I2 program! AI/ML systems for Army m...
We are awarded funding from the ONR Science of AI program!
Our project titled “Explainable AI for Mission Planning and Execution with Interpretable Courses of Action” is selected for funding by the ONR Science of AI ...
Our work on hierarchical RL was accepted to ICRA 2020!
Our paper “Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning” was accepted at the 2020 IEEE International Conference on Robotics ...
We are awarded funding from DARPA!
Our project titled “A Demonstration Platform for Dynamic Mission Planning with Multi-domain Autonomous Systems” is selected for funding by the DARPA STO prog...
machine learning
Our work on anomaly detection was accepted to IJCNN 2022!
Our paper “D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks” was accepted for presentation at IJCNN 2022! We e...
We are awarded funding from the ARL A2I2 program!
Our project titled “Robust and Adaptive Autonomy for Multi-agent Maneuvers (RAAMM)” is selected for funding by the ARL A2I2 program! AI/ML systems for Army m...
We are awarded funding as a project PI on the ONR ALERT program for undergraduate research!
We are excited to be part of the UIUC team (as a project PI) awarded funding from ONR for the Accelerated Learning and Engineering Research Training (ALERT) ...
data science
Our work on airline network resilience was accepted to Transportation Research Part E!
Our paper “Data-driven Analysis of Resilience in Airline Networks” was accepted for publication in Transportation Research Part E: Logistics and Transportati...
Our work on social sensing was accepted to Sustainable and Resilient Infrastructure!
Our paper “Social sensing: towards social media as a sensor for resilience in power systems and other critical infrastructures” was accepted for publication ...
resilient systems
Our work on airline network resilience was accepted to Transportation Research Part E!
Our paper “Data-driven Analysis of Resilience in Airline Networks” was accepted for publication in Transportation Research Part E: Logistics and Transportati...
Our work on social sensing was accepted to Sustainable and Resilient Infrastructure!
Our paper “Social sensing: towards social media as a sensor for resilience in power systems and other critical infrastructures” was accepted for publication ...
network theory
Our work on network robustness was accepted to the IEEE Systems Journal!
Our paper “A Complex Network Framework for Validated Assessments of Systems of Systems Robustness” was accepted for publication in the IEEE Systems Journal! ...
Our work on airline network resilience was accepted to Transportation Research Part E!
Our paper “Data-driven Analysis of Resilience in Airline Networks” was accepted for publication in Transportation Research Part E: Logistics and Transportati...
controls
We are awarded funding from the ONR Science of AI program!
Our project titled “Explainable AI for Mission Planning and Execution with Interpretable Courses of Action” is selected for funding by the ONR Science of AI ...
intelligent transportation systems
Our work on airline network resilience was accepted to Transportation Research Part E!
Our paper “Data-driven Analysis of Resilience in Airline Networks” was accepted for publication in Transportation Research Part E: Logistics and Transportati...
systems engineering
Our work on network robustness was accepted to the IEEE Systems Journal!
Our paper “A Complex Network Framework for Validated Assessments of Systems of Systems Robustness” was accepted for publication in the IEEE Systems Journal! ...