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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
Filip De Turck
Pieter Abbeel
Published in:
NIPS (2017)
Keyphrases
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reinforcement learning
active exploration
artificial intelligence
data sets
machine learning
decision making
experimental study
transfer learning
factors affecting
multi agent
active learning
empirical studies
function approximation
multi robot
temporal difference
information visualization