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Towards Better Laplacian Representation in Reinforcement Learning with
  Generalized Graph Drawing

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing

12 July 2021
Kaixin Wang
Kuangqi Zhou
Qixin Zhang
Jie Shao
Bryan Hooi
Jiashi Feng
ArXivPDFHTML

Papers citing "Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing"

4 / 4 papers shown
Title
Deep Laplacian-based Options for Temporally-Extended Exploration
Deep Laplacian-based Options for Temporally-Extended Exploration
Martin Klissarov
Marlos C. Machado
OffRL
6
17
0
26 Jan 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang
Kuangqi Zhou
Jiashi Feng
Bryan Hooi
Xinchao Wang
13
2
0
24 Oct 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
255
337
0
14 Sep 2020
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
41
40
0
06 Jun 2018
1