Mark Boyer
4 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
model-based reinforcement learning
(2)
plasma control
(2)
offline reinforcement learning
(1)
black-box optimization
(1)
exploration planning
(1)
gaussian process
(1)
reward function
(1)
machine learning
(1)
bayesian optimization
(1)
information gain
(1)
dynamics model
(1)
model-based control
(1)
feedback control
(1)
offline optimization
(1)
scenario planning
(1)
multi-task optimization
(1)
contextual optimization
(1)
model-based rl
(1)
optimal trajectory
(1)
neural network
(1)
Papers
Offline Model-Based Reinforcement Learning for Tokamak Control
L4DC 2023
Exploration via Planning for Information about the Optimal Trajectory
NeurIPS 2022
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
L4DC 2020
Offline Contextual Bayesian Optimization
NeurIPS 2019