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Optimistic Linear Support and Successor Features as a Basis for Optimal
  Policy Transfer

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer

22 June 2022
L. N. Alegre
A. Bazzan
Bruno C. da Silva
ArXivPDFHTML

Papers citing "Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer"

5 / 5 papers shown
Title
Constructing an Optimal Behavior Basis for the Option Keyboard
Constructing an Optimal Behavior Basis for the Option Keyboard
L. N. Alegre
A. Bazzan
André Barreto
Bruno C. da Silva
26
0
0
01 May 2025
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
Ruohong Liu
Yuxin Pan
Linjie Xu
Lei Song
Jiang Bian
Pengcheng You
Yize Chen
45
1
0
03 Oct 2024
Uncertainty-aware transfer across tasks using hybrid model-based
  successor feature reinforcement learning
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh
Ming Hou
Konstantinos N. Plataniotis
51
1
0
16 Oct 2023
Scalar reward is not enough: A response to Silver, Singh, Precup and
  Sutton (2021)
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
Peter Vamplew
Benjamin J. Smith
Johan Källström
G. Ramos
Roxana Rădulescu
...
Fredrik Heintz
Patrick Mannion
Pieter J. K. Libin
Richard Dazeley
Cameron Foale
LRM
24
66
0
25 Nov 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
61
31
0
06 Oct 2021
1