Dongho Kim
5 papers · 2012–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Optimization & Theory
(3)
Core AI
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
offline reinforcement learning
(1)
policy optimization
(1)
variational inference
(1)
bayesian reinforcement learning
(1)
function approximation
(1)
hyperparameter optimization
(1)
distributed learning
(1)
distributed optimization
(1)
model-based reinforcement learning
(1)
batch reinforcement learning
(1)
off-policy learning
(1)
cost-sensitive exploration
(1)
constrained markov decision process
(1)
model-based brl
(1)
exploration constraints
(1)
exploration policy
(1)
consensus optimization
(1)
physics-informed neural network
(1)
inductive bia
(1)
quadratic convergence
(1)
Papers
Harmonic Neural Networks
ICML 2023
Batch Reinforcement Learning with Hyperparameter Gradients
ICML 2020
Distributed Multitask Reinforcement Learning with Quadratic Convergence
NeurIPS 2018
PyDial: A Multi-domain Statistical Dialogue System Toolkit
ACL 2017
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
NeurIPS 2012