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TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning.
Gregory Farquhar
Tim Rocktäschel
Maximilian Igl
Shimon Whiteson
Published in:
ICLR (Poster) (2018)
Keyphrases
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reinforcement learning
probabilistic model
tree models
data sets
prior knowledge
complex systems
computational models
neural network
real world
machine learning
dynamic programming
supervised learning
model selection
transfer learning
function approximation