Andrew Wagenmaker
15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (15)
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(61)
💎
Century Club
(15)
🔥
Unstoppable
(6)
⚡
Prolific Year
(7)
Conferences
NIPS (8)
ICML (2)
AISTATS (1)
COLT (1)
CORL (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
sample complexity
(4)
linear bandit
(3)
active learning
(3)
linear mdp
(2)
reinforcement learning
(2)
experimental design
(2)
offline reinforcement learning
(2)
parameter estimation
(1)
regret minimization
(1)
interactive learning
(1)
online reinforcement learning
(1)
value iteration
(1)
system identification
(1)
model-based reinforcement learning
(1)
robot learning
(1)
non-asymptotic analysis
(1)
neural population dynamics
(1)
preference learning
(1)
calcium imaging
(1)
function approximation
(1)
Papers
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
CORL 2025
Behavioral Exploration: Learning to Explore via In-Context Adaptation
ICML 2025
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
NIPS 2024
Active learning of neural population dynamics using two-photon holographic optogenetics
NIPS 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
NIPS 2024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
NIPS 2024
Fair Active Learning in Low-Data Regimes
UAI 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
NIPS 2024
ASID: Active Exploration for System Identification in Robotic Manipulation
ICLR 2024
Leveraging Offline Data in Online Reinforcement Learning
ICML 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
NIPS 2023
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NIPS 2022
Active Learning with Safety Constraints
NIPS 2022
Experimental Design for Regret Minimization in Linear Bandits
AISTATS 2021
Active Learning for Identification of Linear Dynamical Systems
COLT 2020