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Effective Multi-step Temporal-Difference Learning for Non-Linear
  Function Approximation

Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation

18 August 2016
H. V. Seijen
ArXiv (abs)PDFHTML

Papers citing "Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation"

6 / 6 papers shown
Title
Deep Generalized Schrödinger Bridge
Deep Generalized Schrödinger Bridge
Guan-Horng Liu
T. Chen
Oswin So
Evangelos A. Theodorou
OTAI4CE
93
37
0
20 Sep 2022
Reinforcement Learning of the Prediction Horizon in Model Predictive
  Control
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Eivind Bøhn
S. Gros
Signe Moe
T. Johansen
44
36
0
22 Feb 2021
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep
  Reinforcement Learning
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Taisuke Kobayashi
OffRL
44
8
0
23 Aug 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement
  Learning
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning
Lingheng Meng
R. Gorbet
Dana Kulic
OffRL
73
27
0
23 Jun 2020
A reinforcement learning approach to rare trajectory sampling
A reinforcement learning approach to rare trajectory sampling
Dominic C. Rose
Jamie F. Mair
J. P. Garrahan
76
52
0
26 May 2020
True Online Temporal-Difference Learning
True Online Temporal-Difference Learning
H. V. Seijen
A. R. Mahmood
P. Pilarski
Marlos C. Machado
R. Sutton
OffRLCLL
144
91
0
13 Dec 2015
1