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. 2110.04495
  4. Cited By
Multi-Agent MDP Homomorphic Networks

Multi-Agent MDP Homomorphic Networks

9 October 2021
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Agent MDP Homomorphic Networks"

22 / 22 papers shown
Title
Improving Controller Generalization with Dimensionless Markov Decision Processes
Improving Controller Generalization with Dimensionless Markov Decision Processes
V. Charvet
Sebastian Stein
R. Murray-Smith
29
0
0
14 Apr 2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
Joshua McClellan
Greyson Brothers
Furong Huang
Pratap Tokekar
49
0
0
19 Mar 2025
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
Yihong Li
Chengwei Zhang
Furui Zhan
Wanting Liu
Kailing Zhou
Longji Zheng
50
0
0
11 Mar 2025
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Beomyeol Yu
Taeyoung Lee
39
0
0
27 Feb 2025
Reinforcement Learning with Euclidean Data Augmentation for State-Based
  Continuous Control
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo
Dingyang Chen
Qi Zhang
OffRL
26
0
0
16 Oct 2024
Geometric Active Exploration in Markov Decision Processes: the Benefit
  of Abstraction
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
Ric De Santi
Federico Arangath Joseph
Noah Liniger
Mirco Mutti
Andreas Krause
AI4CE
37
1
0
18 Jul 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
29
9
0
30 Dec 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit
  Model-Free Reinforcement Learning Updates
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
Nicholas Corrado
Josiah P. Hanna
16
4
0
26 Oct 2023
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative
  Multi-Agent Reinforcement Learning
E(3){\rm E}(3)E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen
Qi Zhang
25
2
0
23 Aug 2023
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Jie Luo
Wenjun Wu
36
7
0
30 Jul 2023
Enriching Disentanglement: From Logical Definitions to Quantitative
  Metrics
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang
Masashi Sugiyama
20
1
0
19 May 2023
Policy Gradient Methods in the Presence of Symmetries and State
  Abstractions
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
D. Meger
Doina Precup
25
2
0
09 May 2023
Centralized control for multi-agent RL in a complex Real-Time-Strategy
  game
Centralized control for multi-agent RL in a complex Real-Time-Strategy game
Roger Creus Castanyer
11
2
0
25 Apr 2023
Equivariant MuZero
Equivariant MuZero
Andreea Deac
T. Weber
George Papamakarios
6
3
0
09 Feb 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
Continual Vision-based Reinforcement Learning with Group Symmetries
Shiqi Liu
Mengdi Xu
Piede Huang
Yongkang Liu
K. Oguchi
Ding Zhao
CLL
VLM
40
10
0
21 Oct 2022
Equivariant Networks for Zero-Shot Coordination
Equivariant Networks for Zero-Shot Coordination
Darius Muglich
Christian Schroeder de Witt
Elise van der Pol
Shimon Whiteson
Jakob N. Foerster
45
13
0
21 Oct 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
D. Meger
Doina Precup
31
18
0
15 Sep 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
17
22
0
17 Jun 2022
Equivariant Reinforcement Learning for Quadrotor UAV
Equivariant Reinforcement Learning for Quadrotor UAV
Beomyeol Yu
Taeyoung Lee
25
7
0
02 Jun 2022
Breaking the Curse of Dimensionality in Multiagent State Space: A
  Unified Agent Permutation Framework
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework
Xiaotian Hao
Hangyu Mao
Weixun Wang
Yaodong Yang
Dong Li
Yan Zheng
Zhen Wang
Jianye Hao
LRM
27
6
0
10 Mar 2022
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
133
216
0
06 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
22
94
0
04 Mar 2020
1