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State Sequences Prediction via Fourier Transform for Representation
  Learning

State Sequences Prediction via Fourier Transform for Representation Learning

24 October 2023
Mingxuan Ye
Yufei Kuang
Jie Wang
Rui Yang
Wen-gang Zhou
Houqiang Li
Feng Wu
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "State Sequences Prediction via Fourier Transform for Representation Learning"

13 / 13 papers shown
Title
Learning Task-relevant Representations for Generalization via
  Characteristic Functions of Reward Sequence Distributions
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions
Rui Yang
Jie Wang
Zijie Geng
Mingxuan Ye
Shuiwang Ji
Bin Li
Fengli Wu
OOD
71
21
0
20 May 2022
Data-Efficient Reinforcement Learning with Self-Predictive
  Representations
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
93
321
0
12 Jul 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OODSSL
114
478
0
18 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement
  Learning
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Z. Guo
Bernardo Avila-Pires
Bilal Piot
Jean-Bastien Grill
Florent Altché
Rémi Munos
M. G. Azar
BDLDRLSSL
180
143
0
30 Apr 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
84
42
0
03 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
88
1,446
0
12 Nov 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
180
5,204
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
314
8,396
0
04 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
526
19,237
0
20 Jul 2017
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
123
1,328
0
30 May 2017
Prediction and Control with Temporal Segment Models
Prediction and Control with Temporal Segment Models
Nikhil Mishra
Pieter Abbeel
Igor Mordatch
BDL
62
64
0
12 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
109
1,229
0
16 Nov 2016
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