Andrew Wagenmaker
15 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint
ποΈ
Keyword Collector
(81)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
sample complexity
(4)
active learning
(4)
linear bandit
(3)
reinforcement learning
(3)
offline reinforcement learning
(2)
linear mdp
(2)
system identification
(2)
experimental design
(2)
sim-to-real transfer
(2)
fair classification
(1)
posterior sampling
(1)
robotic manipulation
(1)
preference learning
(1)
robot learning
(1)
function approximation
(1)
model-based reinforcement learning
(1)
parameter estimation
(1)
value iteration
(1)
regret minimization
(1)
interactive learning
(1)
Papers
Behavioral Exploration: Learning to Explore via In-Context Adaptation
ICML 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
CoRL 2025
Active learning of neural population dynamics using two-photon holographic optogenetics
NeurIPS 2024
ASID: Active Exploration for System Identification in Robotic Manipulation
ICLR 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
NeurIPS 2024
Fair Active Learning in Low-Data Regimes
UAI 2024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
NeurIPS 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
NeurIPS 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
NeurIPS 2024
Leveraging Offline Data in Online Reinforcement Learning
ICML 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
NeurIPS 2023
Active Learning with Safety Constraints
NeurIPS 2022
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NeurIPS 2022
Experimental Design for Regret Minimization in Linear Bandits
AISTATS 2021
Active Learning for Identification of Linear Dynamical Systems
COLT 2020