Myungsik Cho
6 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Reinforcement Learning
(5)
Methods
(5)
Machine Learning
(4)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Deep Learning
(1)
Robotics
(1)
Applications · Robotics
(1)
Applications · Reinforcement Learning
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
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)
convergence
(1)
quantile optimization
(1)
gaussian mixture model
(1)
variational autoencoder
(1)
meta-reinforcement learning
(1)
task decomposition
(1)
centralized training decentralized execution
(1)
simplicity bia
(1)
task scheduling
(1)
jensen-shannon divergence
(1)
decentralized execution
(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
NeurIPS 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
NeurIPS 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