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Advantages and Limitations of using Successor Features for Transfer in
  Reinforcement Learning

Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning

31 July 2017
Lucas Lehnert
Stefanie Tellex
Michael L. Littman
ArXiv (abs)PDFHTML

Papers citing "Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning"

2 / 2 papers shown
Title
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
116
2
0
11 Nov 2024
Deep Reinforcement Learning with Successor Features for Navigation
  across Similar Environments
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang
Jost Tobias Springenberg
Joschka Boedecker
Wolfram Burgard
74
295
0
16 Dec 2016
1