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. 2307.09205
  4. Cited By
Learning Dynamic Attribute-factored World Models for Efficient
  Multi-object Reinforcement Learning

Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning

18 July 2023
Fan Feng
Sara Magliacane
    OffRL
    OCL
ArXivPDFHTML

Papers citing "Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning"

12 / 12 papers shown
Title
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
71
3
0
15 Oct 2024
Discovering Object-Centric Generalized Value Functions From Pixels
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath
G. Subbaraj
Khimya Khetarpal
Samira Ebrahimi Kahou
OCL
50
2
0
27 Apr 2023
Toward Compositional Generalization in Object-Oriented World Modeling
Toward Compositional Generalization in Object-Oriented World Modeling
Linfeng Zhao
Lingzhi Kong
Robin Walters
Lawson L. S. Wong
OCL
43
21
0
28 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Erdun Gao
Kun Zhang
Sara Magliacane
CML
OffRL
103
32
0
30 Mar 2022
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Erdun Gao
Fan Feng
Chaochao Lu
Sara Magliacane
Kun Zhang
76
66
0
06 Jul 2021
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
40
41
0
29 Nov 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
185
832
0
26 Jun 2020
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
47
25
0
09 Jun 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
102
117
0
22 May 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
248
18,685
0
20 Jul 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
330
12,662
0
11 Dec 2014
Efficient Solution Algorithms for Factored MDPs
Efficient Solution Algorithms for Factored MDPs
Carlos Guestrin
D. Koller
Ronald E. Parr
Shobha Venkataraman
105
537
0
09 Jun 2011
1