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A Theory of Abstraction in Reinforcement Learning.
David Abel
Published in:
CoRR (2022)
Keyphrases
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reinforcement learning
theoretical framework
function approximation
artificial intelligence
dynamic programming
theoretical basis
neural network
machine learning
search space
optimal policy
decision problems
optimal control
temporal abstractions
temporal difference learning
data abstraction
state abstraction