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Successor Features Combine Elements of Model-Free and Model-based
  Reinforcement Learning

Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning

31 January 2019
Lucas Lehnert
Michael L. Littman
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Papers citing "Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning"

2 / 2 papers shown
Title
Successor Feature Representations
Successor Feature Representations
Chris Reinke
Xavier Alameda-Pineda
29
5
0
29 Oct 2021
Attentive Multi-Task Deep Reinforcement Learning
Attentive Multi-Task Deep Reinforcement Learning
Timo Bram
Gino Brunner
Oliver Richter
Roger Wattenhofer
CLL
17
18
0
05 Jul 2019
1