Taehyun Cho
7 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (12)
β
The Questioner
Conferences
ICML (3)
NIPS (3)
UAI (1)
Top co-authors
Keywords
deep reinforcement learning
(1)
reinforcement learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
offline reinforcement learning
(1)
nonconvex optimization
(1)
policy optimization
(1)
distributional reinforcement learning
(1)
distributed computing
(1)
continuous control
(1)
sequential learning
(1)
variance estimation
(1)
optimistic exploration
(1)
bilevel optimization
(1)
random matrix theory
(1)
convergence guarantee
(1)
ensemble method
(1)
atari game
(1)
straggler mitigation
(1)
risk constraint
(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
NIPS 2024
On the Convergence of Continual Learning with Adaptive Methods
UAI 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NIPS 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
NIPS 2023
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
ICML 2021