Ian Char
9 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
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Topic Evolution
Venues
Top co-authors
Research topics
Machine Learning
(7)
Reinforcement Learning
(4)
Methods
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Optimization & Theory
(3)
Applications
(2)
Core AI
(2)
Core Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
model-based reinforcement learning
(3)
offline reinforcement learning
(2)
plasma control
(2)
sample efficiency
(1)
black-box optimization
(1)
calibration
(1)
locomotion control
(1)
attention mechanism
(1)
policy learning
(1)
exploration planning
(1)
gaussian process
(1)
quantile regression
(1)
pinball loss
(1)
partially observable
(1)
reward function
(1)
uncertainty quantification
(1)
bayesian optimization
(1)
stochastic variational inference
(1)
amortized inference
(1)
reinforcement learning
(1)
Papers
Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
L4DC 2026
Sampling-based Multi-dimensional Recalibration
ICML 2024
Near-optimal Policy Identification in Active Reinforcement Learning
ICLR 2023
Offline Model-Based Reinforcement Learning for Tokamak Control
L4DC 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
NeurIPS 2023
Deep Attentive Variational Inference
ICLR 2022
Exploration via Planning for Information about the Optimal Trajectory
NeurIPS 2022
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NeurIPS 2021
Offline Contextual Bayesian Optimization
NeurIPS 2019