Joel Burdick
5 papers · 2015–2021 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Optimization
(2)
Healthcare & Medicine
(1)
Robotics
(1)
Applications
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Capabilities
(1)
Clinical
(1)
Core AI
(1)
Learning Types
(1)
Keywords
gaussian process
(2)
reinforcement learning
(2)
safety constraint
(2)
posterior sampling
(1)
model predictive control
(1)
continuous control
(1)
constraint satisfaction
(1)
variance reduction
(1)
bayesian optimization
(1)
bayesian regret
(1)
bias-variance tradeoff
(1)
control theory
(1)
utility function
(1)
preference-based learning
(1)
policy regularization
(1)
credit assignment
(1)
safe optimization
(1)
safe exploration
(1)
clinical practice
(1)
control regularization
(1)
Papers
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation
RSS 2021
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
UAI 2020
Control Regularization for Reduced Variance Reinforcement Learning
ICML 2019
Stagewise Safe Bayesian Optimization with Gaussian Processes
ICML 2018
Safe Exploration for Optimization with Gaussian Processes
ICML 2015