Amanda Prorok
15 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (10)
π
Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(14)
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
CORL (4)
ICLR (3)
NIPS (3)
JMLR (2)
AAAI (1)
ICML (1)
L4DC (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
multi-agent reinforcement learning
(3)
recurrent neural network
(3)
graph neural network
(2)
memory model
(2)
partially observable markov decision process
(2)
message passing
(1)
partially observable environment
(1)
recurrent reinforcement learning
(1)
linear recurrent model
(1)
policy heterogeneity
(1)
algorithm comparison
(1)
multi-agent coordination
(1)
multi-agent pathfinding
(1)
aggregation function
(1)
multi-robot system
(1)
behavioral diversity
(1)
memory architecture
(1)
graph convolutional memory
(1)
topological prior
(1)
Papers
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
AAAI 2026
ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
CORL 2025
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
JMLR 2025
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
ICLR 2025
Provably Safe Online Multi-Agent Navigation in Unknown Environments
CORL 2024
Recurrent Reinforcement Learning with Memoroids
NIPS 2024
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
ICML 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
JMLR 2024
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
CORL 2024
Generalised f-Mean Aggregation for Graph Neural Networks
NIPS 2023
Reinforcement Learning with Fast and Forgetful Memory
NIPS 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning
ICLR 2023
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
ICLR 2022
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
L4DC 2022
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
CORL 2020