Myungsik Cho
6 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Conference Pioneer
Conferences
ICML (3)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
representation learning
(1)
multi-agent reinforcement learning
(1)
risk management
(1)
domain generalization
(1)
policy gradient
(1)
constrained reinforcement learning
(1)
policy learning
(1)
task generalization
(1)
distributional reinforcement learning
(1)
quantile optimization
(1)
gaussian mixture model
(1)
variational autoencoder
(1)
meta-reinforcement learning
(1)
task decomposition
(1)
centralized training decentralized execution
(1)
jensen-shannon divergence
(1)
decentralized execution
(1)
environment dynamics
(1)
centralized training
(1)
robust imitation learning
(1)
Papers
ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
ICML 2025
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
ICML 2024
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
NIPS 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
NIPS 2022
Robust Imitation Learning against Variations in Environment Dynamics
ICML 2022
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
AAAI 2019