Jonathan P. How
9 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Reinforcement Learning
(5)
Methods
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Analysis
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Domain-Specific
(1)
Keywords
reinforcement learning
(2)
bayesian nonparametrics
(2)
multi-agent reinforcement learning
(2)
multi-task learning
(1)
adversarial robustness
(1)
point cloud registration
(1)
object detection
(1)
knowledge transfer
(1)
hierarchical reinforcement learning
(1)
branch and bound
(1)
value function
(1)
policy iteration
(1)
linear function approximation
(1)
partial observability
(1)
temporal abstraction
(1)
clustering algorithm
(1)
partially observable environment
(1)
cooperative learning
(1)
cooperative multi-agent
(1)
formal guarantee
(1)
Papers
ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization
RSS 2025
Context-Specific Representation Abstraction for Deep Option Learning
AAAI 2022
Certified Adversarial Robustness for Deep Reinforcement Learning
CoRL 2019
Learning to Teach in Cooperative Multiagent Reinforcement Learning
AAAI 2019
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
ICML 2017
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
CVPR 2017
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research
JMLR 2015
Small-Variance Nonparametric Clustering on the Hypersphere
CVPR 2015
Stick-Breaking Policy Learning in Dec-POMDPs
IJCAI 2015