Steven Morad
7 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(12)
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Trend Setter
Venues
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Research topics
Keywords
reinforcement learning
(4)
recurrent neural network
(3)
memory model
(3)
partially observable markov decision process
(3)
function approximation
(1)
bird's eye view
(1)
message passing
(1)
distributed training
(1)
partially observable environment
(1)
variational autoencoder
(1)
foundation model
(1)
recurrent reinforcement learning
(1)
linear recurrent model
(1)
aggregation function
(1)
memory architecture
(1)
action space reduction
(1)
spatial prior
(1)
partially observable reinforcement learning
(1)
real time
(1)
graph neural network
(1)
Papers
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
AAAI 2026
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
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
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
L4DC 2022