Ian Char
8 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer
π
Cross-Pollinator
(13)
Conferences
NIPS (4)
ICLR (2)
ICML (1)
L4DC (1)
Top co-authors
Keywords
model-based reinforcement learning
(2)
sample efficiency
(1)
offline reinforcement learning
(1)
locomotion control
(1)
black-box optimization
(1)
uncertainty quantification
(1)
policy learning
(1)
exploration planning
(1)
gaussian process
(1)
quantile regression
(1)
pinball loss
(1)
reward function
(1)
partially observable
(1)
bayesian optimization
(1)
information gain
(1)
inductive bia
(1)
dynamics model
(1)
feedback control
(1)
offline optimization
(1)
plasma control
(1)
Papers
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
NIPS 2023
Deep Attentive Variational Inference
ICLR 2022
Exploration via Planning for Information about the Optimal Trajectory
NIPS 2022
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NIPS 2021
Offline Contextual Bayesian Optimization
NIPS 2019