ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.18534
  4. Cited By
Multi Time Scale World Models

Multi Time Scale World Models

27 October 2023
Vaisakh Shaj
Saleh Gholam Zadeh
Ozan Demir
L. R. Douat
Gerhard Neumann
    AI4CE
ArXivPDFHTML

Papers citing "Multi Time Scale World Models"

6 / 6 papers shown
Title
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
107
1
0
04 Mar 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
78
1
0
20 Feb 2025
Adaptive World Models: Learning Behaviors by Latent Imagination Under
  Non-Stationarity
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
Emiliyan Gospodinov
Vaisakh Shaj
P. Becker
Stefan Geyer
Gerhard Neumann
34
0
0
02 Nov 2024
Hidden Parameter Recurrent State Space Models For Changing Dynamics
  Scenarios
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Vaisakh Shaj
Dieter Buchler
Rohit Sonker
P. Becker
Gerhard Neumann
35
8
0
29 Jun 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
27
28
0
10 Feb 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,876
0
14 Dec 2020
1