Prorok, Amanda

16 publications

ICLR 2025 Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok

NeurIPS 2025 No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek

CoRL 2025 ReCoDe: Reinforcement Learning-Based Dynamic Constraint Design for Multi-Agent Coordination Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok

JMLR 2025 System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning Matteo Bettini, Ajay Shankar, Amanda Prorok

MLOSS 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

ICMLW 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

CoRL 2024 CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications Jan Blumenkamp, Steven Morad, Jennifer Gielis, Amanda Prorok

ICML 2024 Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning Matteo Bettini, Ryan Kortvelesy, Amanda Prorok

CoRL 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok

NeurIPS 2024 Recurrent Reinforcement Learning with Memoroids Steven Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob Foerster, Amanda Prorok

NeurIPS 2023 Generalised F-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy, Steven Morad, Amanda Prorok

ICLR 2023 POPGym: Benchmarking Partially Observable Reinforcement Learning Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok

NeurIPS 2023 Reinforcement Learning with Fast and Forgetful Memory Steven Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok

ICLR 2022 Graph Neural Network Guided Local Search for the Traveling Salesperson Problem Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok

L4DC 2022 Modeling Partially Observable Systems Using Graph-Based Memory and Topological Priors Steven Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok

CoRL 2020 The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning Jan Blumenkamp, Amanda Prorok