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An Analysis of Categorical Distributional Reinforcement Learning

An Analysis of Categorical Distributional Reinforcement Learning

22 February 2018
Mark Rowland
Marc G. Bellemare
Will Dabney
Rémi Munos
Yee Whye Teh
ArXiv (abs)PDFHTML

Papers citing "An Analysis of Categorical Distributional Reinforcement Learning"

7 / 7 papers shown
Title
IGN : Implicit Generative Networks
IGN : Implicit Generative Networks
Haozheng Luo
Tianyi Wu
Feiyu Han
Zhijun Yan
OffRL
98
1
0
24 Feb 2025
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Minheng Xiao
Xian Yu
Lei Ying
88
2
0
23 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
David Valencia
Henry Williams
Trevor Gee
Bruce A MacDonaland
Minas V. Liarokapis
Minas Liarokapis
OffRL
124
2
0
04 May 2024
Distributional Reinforcement Learning with Quantile Regression
Distributional Reinforcement Learning with Quantile Regression
Will Dabney
Mark Rowland
Marc G. Bellemare
Rémi Munos
92
760
0
27 Oct 2017
A Distributional Perspective on Reinforcement Learning
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
96
1,504
0
21 Jul 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare
Ivo Danihelka
Will Dabney
S. Mohamed
Balaji Lakshminarayanan
Stephan Hoyer
Rémi Munos
GAN
74
344
0
30 May 2017
Parametric Return Density Estimation for Reinforcement Learning
Parametric Return Density Estimation for Reinforcement Learning
Tetsuro Morimura
Masashi Sugiyama
H. Kashima
Hirotaka Hachiya
Toshiyuki Tanaka
76
112
0
15 Mar 2012
1