Matthew Schlegel
7 papers · 2017–2023 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π Cross-Pollinator (14) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(3)
π
Academic Marathon
(6)
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Trend Setter
π
Conference Pioneer
Conferences
NIPS (5)
AAAI (1)
ICML (1)
Top co-authors
Keywords
reinforcement learning
(3)
off-policy learning
(2)
online learning
(2)
continual learning
(2)
policy optimization
(1)
importance sampling
(1)
value function
(1)
value iteration
(1)
kullback-leibler divergence
(1)
least-squares temporal difference
(1)
action-value function
(1)
submodular maximization
(1)
upper confidence bound
(1)
atari game
(1)
replay buffer
(1)
successor feature
(1)
non-stationary problem
(1)
meta-gradient descent
(1)
tsallis divergence
(1)
kernel representation
(1)
Papers
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
NIPS 2023
Continual Auxiliary Task Learning
NIPS 2021
Structural Credit Assignment in Neural Networks using Reinforcement Learning
NIPS 2021
Importance Resampling for Off-policy Prediction
NIPS 2019
Meta-Descent for Online, Continual Prediction
AAAI 2019
Context-dependent upper-confidence bounds for directed exploration
NIPS 2018
Adapting Kernel Representations Online Using Submodular Maximization
ICML 2017