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Temporal Difference Learning as Gradient Splitting

Temporal Difference Learning as Gradient Splitting

27 October 2020
Rui Liu
Alexander Olshevsky
ArXivPDFHTML

Papers citing "Temporal Difference Learning as Gradient Splitting"

5 / 5 papers shown
Title
One-Shot Averaging for Distributed TD($λ$) Under Markov Sampling
One-Shot Averaging for Distributed TD(λλλ) Under Markov Sampling
Haoxing Tian
I. Paschalidis
Alexander Olshevsky
OffRL
47
4
0
13 Mar 2024
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
39
2
0
20 May 2023
Federated Temporal Difference Learning with Linear Function
  Approximation under Environmental Heterogeneity
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang
A. Mitra
Hamed Hassani
George J. Pappas
James Anderson
FedML
31
21
0
04 Feb 2023
A Small Gain Analysis of Single Timescale Actor Critic
A Small Gain Analysis of Single Timescale Actor Critic
Alexander Olshevsky
Bahman Gharesifard
35
20
0
04 Mar 2022
Distributed TD(0) with Almost No Communication
Distributed TD(0) with Almost No Communication
R. Liu
Alexander Olshevsky
FedML
28
15
0
16 Apr 2021
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