Dohyeong Kim
6 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(18)
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The Questioner
Venues
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Research topics
Reinforcement Learning
(6)
Applications
(4)
Methods
(4)
Machine Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
reinforcement learning
(2)
adversarial learning
(1)
diffusion model
(1)
curriculum learning
(1)
direct preference optimization
(1)
gradient aggregation
(1)
adversarial training
(1)
distributional reinforcement learning
(1)
regret minimization
(1)
continuous control
(1)
eluder dimension
(1)
bilevel optimization
(1)
safe reinforcement learning
(1)
regret bound
(1)
policy optimization
(1)
convergence guarantee
(1)
zero-shot generalization
(1)
safety constraint
(1)
trust region
(1)
deep reinforcement learning
(1)
Papers
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
ICML 2025
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
ICLR 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
ICML 2025
Adversarial Environment Design via Regret-Guided Diffusion Models
NeurIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NeurIPS 2024
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
NeurIPS 2023