Andrew Patterson
10 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
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(5)
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Taxonomy Completionist
(21)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable
(5)
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Century Club
(10)
π
Conference Pioneer
ποΈ
Keyword Collector
(53)
Conferences
ICML (2)
JMLR (2)
L4DC (2)
NIPS (2)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
temporal-difference learning
(2)
off-policy learning
(2)
reinforcement learning
(2)
temporal difference learning
(1)
bayesian learning
(1)
policy gradient
(1)
path planning
(1)
tensor decomposition
(1)
stability analysis
(1)
gaussian process
(1)
hypothesis testing
(1)
bellman equation
(1)
gaussian process regression
(1)
contraction theory
(1)
value function approximation
(1)
model-based reinforcement learning
(1)
experimental design
(1)
function approximation
(1)
state abstraction
(1)
motion planning
(1)
Papers
Empirical Design in Reinforcement Learning
JMLR 2024
A Temporal-Difference Approach to Policy Gradient Estimation
ICML 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
JMLR 2022
Contraction L1-Adaptive Control using Gaussian Processes
L4DC 2021
L1-GP: L1 Adaptive Control with Bayesian Learning
L4DC 2020
Gradient Temporal-Difference Learning with Regularized Corrections
ICML 2020
Proximity Queries for Absolutely Continuous Parametric Curves
RSS 2019
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
NIPS 2019
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains
IJCAI 2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
NIPS 2018