Kurtland Chua
4 papers · 2018–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (2) π Academic Marathon (5) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
model-based reinforcement learning
(2)
sample efficiency
(2)
representation learning
(1)
state abstraction
(1)
few-shot learning
(1)
hyperparameter optimization
(1)
neural network optimization
(1)
dynamics modeling
(1)
hierarchical reinforcement learning
(1)
gradient descent
(1)
temporal abstraction
(1)
regret bound
(1)
meta-reinforcement learning
(1)
planning algorithm
(1)
data efficiency
(1)
uncertainty propagation
(1)
trajectory sampling
(1)
neural network
(1)
automatic hyperparameter tuning
(1)
latent hierarchy
(1)
Papers
Provable Hierarchy-Based Meta-Reinforcement Learning
AISTATS 2023
How Fine-Tuning Allows for Effective Meta-Learning
NIPS 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
NIPS 2018