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Distributional reinforcement learning with linear function approximation

Distributional reinforcement learning with linear function approximation

8 February 2019
Marc G. Bellemare
Nicolas Le Roux
Pablo Samuel Castro
Subhodeep Moitra
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Papers citing "Distributional reinforcement learning with linear function approximation"

5 / 5 papers shown
Title
Foundations of Multivariate Distributional Reinforcement Learning
Foundations of Multivariate Distributional Reinforcement Learning
Harley Wiltzer
Jesse Farebrother
Arthur Gretton
Mark Rowland
OffRL
43
2
0
31 Aug 2024
Off-policy Distributional Q($λ$): Distributional RL without
  Importance Sampling
Off-policy Distributional Q(λλλ): Distributional RL without Importance Sampling
Yunhao Tang
Mark Rowland
Rémi Munos
Bernardo Avila-Pires
Will Dabney
OffRL
15
1
0
08 Feb 2024
Deep Reinforcement and InfoMax Learning
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
27
108
0
12 Jun 2020
Learning to Score Behaviors for Guided Policy Optimization
Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano
Jack Parker-Holder
Yunhao Tang
A. Choromańska
K. Choromanski
Michael I. Jordan
27
38
0
11 Jun 2019
Statistics and Samples in Distributional Reinforcement Learning
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland
Robert Dadashi
Saurabh Kumar
Rémi Munos
Marc G. Bellemare
Will Dabney
OffRL
22
88
0
21 Feb 2019
1