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A New Representation of Successor Features for Transfer across
  Dissimilar Environments

A New Representation of Successor Features for Transfer across Dissimilar Environments

18 July 2021
Majid Abdolshah
Hung Le
Thommen George Karimpanal
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "A New Representation of Successor Features for Transfer across Dissimilar Environments"

3 / 3 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
141
2
0
11 Nov 2024
Combining Behaviors with the Successor Features Keyboard
Combining Behaviors with the Successor Features Keyboard
Wilka Carvalho
Andre Saraiva
Angelos Filos
Andrew Kyle Lampinen
Loic Matthey
Richard L. Lewis
Honglak Lee
Satinder Singh
Danilo Jimenez Rezende
Daniel Zoran
78
4
0
24 Oct 2023
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
94
23
0
05 Oct 2021
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