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Amanda Prorok

15 papers · 2020–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (24) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (67) πŸ“ˆ Trend Setter

Venues

CoRL (4) ICLR (3) NeurIPS (3) JMLR (2) AAAI (1) ICML (1) L4DC (1)

Top co-authors

Steven Morad (6) Ryan Kortvelesy (6) Matteo Bettini (4) Stephan Liwicki (4) Jasmine Bayrooti (2) Michael Amir (2) Keisuke Okumura (2) Guang Yang (2) Zhan Gao (2) Jan Blumenkamp (2)

Research topics

Reinforcement Learning (10) Methods (10) Artificial Intelligence (9) Machine Learning (9) Core AI (8) Deep Learning (6) Architectures (6) Core Methods (4) Learning Types (4) Robotics (3) Capabilities (3) Applications (2) Bayesian & Probabilistic (1) Optimization & Theory (1)

Keywords

reinforcement learning (4) graph neural network (3) memory model (3) partially observable markov decision process (3) multi-agent reinforcement learning (3) recurrent neural network (3) sample efficiency (2) multi-agent coordination (2) behavioral diversity (2) path planning (1) bird's eye view (1) policy learning (1) graph attention (1) model uncertainty (1) imitation learning (1) hybrid algorithm (1) distributed training (1) function approximation (1) model-based reinforcement learning (1) continuous control (1)

Papers

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding AAAI 2026 Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 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 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024 Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning ICML 2024 CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications CoRL 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 Recurrent Reinforcement Learning with Memoroids NeurIPS 2024 Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 POPGym: Benchmarking Partially Observable Reinforcement Learning ICLR 2023 Reinforcement Learning with Fast and Forgetful Memory NeurIPS 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