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Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement.
André Barreto
Diana Borsa
John Quan
Tom Schaul
David Silver
Matteo Hessel
Daniel J. Mankowitz
Augustin Zídek
Rémi Munos
Published in:
CoRR (2019)
Keyphrases
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reinforcement learning
feature vectors
optimal policy
co occurrence
image features
feature extraction
policy search
approximate dynamic programming
knowledge transfer
transfer learning
low level
machine learning
support vector machine
spatial information
learning process
multi agent
reinforcement learning problems