Josiah P. Hanna
13 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Triple Crown
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Grand Slam
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(62)
Top co-authors
Research topics
Reinforcement Learning
(11)
Methods
(11)
Machine Learning
(8)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Applications
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Optimization
(2)
Deep Learning
(1)
Robotics
(1)
Learning Types Β· Deep Learning
(1)
Keywords
reinforcement learning
(4)
behavior policy
(3)
policy evaluation
(3)
mean squared error
(3)
off-policy evaluation
(3)
policy search
(2)
variance reduction
(2)
representation learning
(2)
importance sampling
(2)
data efficiency
(2)
self-supervised learning
(1)
bellman equation
(1)
state abstraction
(1)
off-policy learning
(1)
markov decision process
(1)
safety constraint
(1)
disentangled representation
(1)
temporal difference
(1)
minimax optimization
(1)
data augmentation
(1)
Papers
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
ICML 2025
Stable Offline Value Function Learning with Bisimulation-based Representations
ICML 2025
Adaptive Exploration for Data-Efficient General Value Function Evaluations
NeurIPS 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search
JMLR 2024
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
ICML 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
ICML 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
AAAI 2024
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
ICLR 2024
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
AAAI 2023
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
ICLR 2023
ReVar: Strengthening policy evaluation via reduced variance sampling
UAI 2022
Selecting Compliant Agents for Opt-in Micro-Tolling
AAAI 2019
Data-Efficient Policy Evaluation Through Behavior Policy Search
ICML 2017