Taehyun Cho
7 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Silver
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Taxonomy Completionist
(14)
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The Questioner
Venues
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Research topics
Keywords
reinforcement learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
offline reinforcement learning
(1)
non-convex optimization
(1)
policy optimization
(1)
direct preference optimization
(1)
distributional reinforcement learning
(1)
distributed computing
(1)
continuous control
(1)
sequential learning
(1)
variance estimation
(1)
optimistic exploration
(1)
eluder dimension
(1)
bilevel optimization
(1)
random matrix theory
(1)
regret bound
(1)
convergence guarantee
(1)
ensemble method
(1)
deep reinforcement learning
(1)
Papers
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
ICML 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
ICML 2025
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NeurIPS 2024
On the Convergence of Continual Learning with Adaptive Methods
UAI 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
NeurIPS 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NeurIPS 2023
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
ICML 2021