Drew Bagnell
14 papers · 2010–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Topic Evolution
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Trend Setter
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(10)
Learning Types
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Reinforcement Learning
(6)
Methods
(6)
Core AI
(5)
Core Methods
(4)
Learning Paradigms
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Applications
(2)
Optimization
(2)
Bayesian & Probabilistic
(1)
Keywords
imitation learning
(5)
sample efficiency
(2)
continuous control
(2)
inverse reinforcement learning
(2)
offline dataset
(2)
high-dimensional modeling
(1)
online learning
(1)
sequence modeling
(1)
ensemble learning
(1)
policy learning
(1)
convex optimization
(1)
structured prediction
(1)
function approximation
(1)
sequential decision making
(1)
maximum entropy
(1)
human motion capture
(1)
trajectory prediction
(1)
policy optimization
(1)
supervised learning
(1)
document summarization
(1)
Papers
Hybrid Inverse Reinforcement Learning
ICML 2024
Hybrid Reinforcement Learning from Offline Observation Alone
ICML 2024
Hybrid RL: Using both offline and online data can make RL efficient
ICLR 2023
Inverse Reinforcement Learning without Reinforcement Learning
ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
ICML 2023
Causal Imitation Learning under Temporally Correlated Noise
ICML 2022
Provably Efficient Imitation Learning from Observation Alone
ICML 2019
Near Optimal Bayesian Active Learning for Decision Making
AISTATS 2014
Learning Policies for Contextual Submodular Prediction
ICML 2013
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation
RSS 2013
Efficient high dimensional maximum entropy modeling via symmetric partition functions
NeurIPS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
AISTATS 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
AISTATS 2011
Efficient Reductions for Imitation Learning
AISTATS 2010