Steven Morad
7 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(10)
🌉
Interdisciplinary Bridge
Conferences
NIPS (3)
AAAI (1)
CORL (1)
ICLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
recurrent neural network
(3)
memory model
(2)
partially observable markov decision process
(2)
partially observable environment
(1)
variational autoencoder
(1)
recurrent reinforcement learning
(1)
linear recurrent model
(1)
aggregation function
(1)
memory architecture
(1)
action space reduction
(1)
graph neural network
(1)
graph convolutional memory
(1)
topological prior
(1)
muscle synergy
(1)
latent markov state
(1)
representation learning
(1)
overactuated control
(1)
sample efficiency
(1)
function approximation
(1)
Papers
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
AAAI 2026
Recurrent Reinforcement Learning with Memoroids
NIPS 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
POPGym: Benchmarking Partially Observable Reinforcement Learning
ICLR 2023
Reinforcement Learning with Fast and Forgetful Memory
NIPS 2023
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
L4DC 2022