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A Greedy Approach to Adapting the Trace Parameter for Temporal
  Difference Learning

A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning

2 July 2016
Martha White
Adam White
ArXivPDFHTML

Papers citing "A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning"

6 / 6 papers shown
Title
Selective Credit Assignment
Selective Credit Assignment
Veronica Chelu
Diana Borsa
Doina Precup
Hado van Hasselt
29
2
0
20 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
31
26
0
16 Dec 2021
Fast Efficient Hyperparameter Tuning for Policy Gradients
Fast Efficient Hyperparameter Tuning for Policy Gradients
Supratik Paul
Vitaly Kurin
Shimon Whiteson
22
32
0
18 Feb 2019
Meta-Gradient Reinforcement Learning
Meta-Gradient Reinforcement Learning
Zhongwen Xu
H. V. Hasselt
David Silver
53
324
0
24 May 2018
Multi-step Off-policy Learning Without Importance Sampling Ratios
Multi-step Off-policy Learning Without Importance Sampling Ratios
A. R. Mahmood
Huizhen Yu
R. Sutton
OffRL
24
54
0
09 Feb 2017
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