Amanda Prorok

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 116

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

IROS

Publications

Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok
Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR (2024)
Edan Toledo, Amanda Prorok
CoDreamer: Communication-Based Decentralised World Models. CoRR (2024)
Dulhan Jayalath, Steven D. Morad, Amanda Prorok
Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR (2024)
Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR (2024)
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. CoRR (2024)
Henry Smith, Ajay Shankar, Jennifer Gielis, Jan Blumenkamp, Amanda Prorok
SO(2)-Equivariant Downwash Models for Close Proximity Flight. IEEE Robotics Autom. Lett. 9 (2) (2024)
Zhan Gao, Guang Yang, Amanda Prorok
Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation. CoRR (2024)
Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. CoRR (2024)
Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR (2024)
Zhan Gao, Amanda Prorok, Elvin Isufi
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR (2023)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR (2023)
Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Reinforcement Learning with Fast and Forgetful Memory. NeurIPS (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. CoRR (2023)
Matteo Bettini, Amanda Prorok, Vincent Moens
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
Heterogeneous Multi-Robot Reinforcement Learning. AAMAS (2023)
Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. ICRA (2023)
Zhan Gao, Guang Yang, Amanda Prorok
Online Control Barrier Functions for Decentralized Multi-Agent Navigation. MRS (2023)
Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok
Decentralized Channel Management in WLANs with Graph Neural Networks. ICC (2023)
Zhan Gao, Amanda Prorok
Constrained Environment Optimization for Prioritized Multi-Agent Navigation. CoRR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS (2023)
Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Reinforcement Learning with Fast and Forgetful Memory. CoRR (2023)
Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok
Modeling Aggregate Downwash Forces for Dense Multirotor Flight. CoRR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS (2023)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR (2023)
Ajay Shankar, Heedo Woo, Amanda Prorok
Docking Multirotors in Close Proximity using Learnt Downwash Models. CoRR (2023)
Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. CoRR (2023)
Zhan Gao, Guang Yang, Amanda Prorok
Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation. CoRR (2023)
Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok
See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. IROS (2023)
Zhan Gao, Amanda Prorok
Environment Optimization for Multi-Agent Navigation. ICRA (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Generalised f-Mean Aggregation for Graph Neural Networks. CoRR (2023)
Jasmine Bayrooti, Zhan Gao, Amanda Prorok
Differentially Private Decentralized Deep Learning with Consensus Algorithms. CoRR (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
Heterogeneous Multi-Robot Reinforcement Learning. CoRR (2023)
Henry Smith, Ajay Shankar, Jan Blumenkamp, Jennifer Gielis, Amanda Prorok
SO(2)-Equivariant Downwash Models for Close Proximity Flight. CoRR (2023)
Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38 (1) (2022)
Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR (2022)
Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70 (2022)
Ryan Kortvelesy, Amanda Prorok
QGNN: Value Function Factorisation with Graph Neural Networks. CoRR (2022)
Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. AAMAS (2022)
Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. ICLR (2022)
Matteo Bettini, Amanda Prorok
On the properties of path additions for traffic routing. CoRR (2022)
Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC (2022)
Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. Frontiers Robotics AI 9 (2022)
Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok
Decentralized Channel Management in WLANs with Graph Neural Networks. CoRR (2022)
Zhan Gao, Amanda Prorok
Environment Optimization for Multi-Agent Navigation. CoRR (2022)
Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. ICRA (2022)
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. DARS (2022)
Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok
Learning to Navigate using Visual Sensor Networks. CoRR (2022)
Jennifer Gielis, Ajay Shankar, Amanda Prorok
A Critical Review of Communications in Multi-Robot Systems. CoRR (2022)
Francesco Sovrano, Alex Raymond, Amanda Prorok
Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics Autom. Lett. 7 (2) (2022)
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. CoRR (2022)
Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. IROS (2021)
Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR (2021)
Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR (2021)
Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties. CoRR (2021)
Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics Autom. Lett. 6 (3) (2021)
Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok
Fair Robust Assignment using Redundancy. CoRR (2021)
Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. CoRR (2021)
Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. CoRR (2021)
Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok
Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. 6 (2) (2021)
Francesco Sovrano, Alex Raymond, Amanda Prorok
Explanation-Aware Experience Replay in Rule-Dense Environments. CoRR (2021)
Ryan Kortvelesy, Amanda Prorok
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. ICRA (2021)
Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. CoRR (2021)
Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. CoRR (2021)
Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. CoRR (2021)
Steven D. Morad, Stephan Liwicki, Amanda Prorok
Graph Convolutional Memory for Deep Reinforcement Learning. CoRR (2021)
Jennifer Gielis, Amanda Prorok
Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks. IEEE Commun. Mag. 59 (1) (2021)
Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties. Frontiers Robotics AI 8 (2021)
Ryan Kortvelesy, Amanda Prorok
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. CoRR (2021)
Jan Blumenkamp, Amanda Prorok
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRL (2020)
Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. CoRR (2020)
Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS (2020)
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. 5 (2) (2020)
Rupert Mitchell, Jan Blumenkamp, Amanda Prorok
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. CoRR (2020)
Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning. CoRR (2020)
Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. ICRA (2020)
Amanda Prorok
Robust Assignment Using Redundant Robots on Transport Networks With Uncertain Travel Time. IEEE Trans Autom. Sci. Eng. 17 (4) (2020)
Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. AAMAS (2020)
Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
Graph Neural Networks for Decentralized Path Planning. AAMAS (2020)
Alex Raymond, Hatice Gunes, Amanda Prorok
Culture-Based Explainable Human-Agent Deconfliction. AAMAS (2020)
Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok
Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (4) (2020)
Jan Blumenkamp, Amanda Prorok
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRR (2020)
Thomas M. Howard, Amanda Prorok, Hadas Kress-Gazit
Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018). Auton. Robots 44 (7) (2020)
Michael Whitzer, Daigo Shishika, Dinesh Thakur, Vijay Kumar, Amanda Prorok
DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars. ICRA (2020)
Matthew Le Maitre, Amanda Prorok
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. CoRR (2020)
Matthew Le Maitre, Amanda Prorok
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. ITSC (2020)
Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
Decentralized Control with Graph Neural Networks. CoRR (2020)
Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving. CoRR (2019)
Nicholas Hyldmar, Yijun He, Amanda Prorok
A Fleet of Miniature Cars for Experiments in Cooperative Driving. ICRA (2019)
Amanda Prorok, Brian M. Sadler, Magnus Egerstedt, Vijay Kumar
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots 43 (3) (2019)
Alex Raymond, Hatice Gunes, Amanda Prorok
Culture-Based Explainable Human-Agent Deconfliction. CoRR (2019)
Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR (2019)
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR (2019)
Nicholas Hyldmar, Yijun He, Amanda Prorok
A Fleet of Miniature Cars for Experiments in Cooperative Driving. CoRR (2019)
Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. CoRR (2019)
Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract. MRS (2019)
Amanda Prorok
Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty. CoRR (2018)
Amanda Prorok
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. DARS (2018)
Amanda Prorok
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. CoRR (2018)
Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo, Amanda Prorok
Surveying Areas in Developing Regions Through Context Aware Drone Mobility. DroNet@MobiSys (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amanda Prorok