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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
ArXivPDFHTML

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

4 / 4 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
52
1
0
11 Nov 2024
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
40
1
0
12 May 2024
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless
  Cellular Networks
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Fatemeh Lotfi
Omid Semiari
Walid Saad
19
27
0
23 Nov 2021
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
41
23
0
05 Oct 2021
1