Chi-Guhn Lee
9 papers · 2018–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(51)
π
Conference Pioneer
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Reinforcement Learning
(6)
Learning Types Β· Machine Learning
(6)
Methods
(6)
Learning Paradigms
(5)
Optimization & Theory
(3)
Core Methods
(2)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Keywords
reinforcement learning
(3)
bayesian model combination
(2)
bayesian inference
(2)
transfer learning
(2)
value function
(1)
markov decision process
(1)
distributional reinforcement learning
(1)
utility function
(1)
nearest neighbor
(1)
vector quantization
(1)
time series
(1)
value iteration
(1)
quantile regression
(1)
policy improvement
(1)
learning from demonstration
(1)
quadratic programming
(1)
dynamical system
(1)
mixture of expert
(1)
exploration-exploitation tradeoff
(1)
data augmentation
(1)
Papers
A Differential Perspective on Distributional Reinforcement Learning
AAAI 2026
Recursive Time Series Data Augmentation
ICLR 2023
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch
IJCAI 2022
Bayesian Experience Reuse for Learning from Multiple Demonstrators
IJCAI 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts
UAI 2021
Incremental few-shot learning via vector quantization in deep embedded space
ICLR 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NeurIPS 2021
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
NeurIPS 2018