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PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement
  Learning

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

31 October 2019
Iou-Jen Liu
Raymond A. Yeh
A. Schwing
ArXivPDFHTML

Papers citing "PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning"

18 / 18 papers shown
Title
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
73
0
0
02 Jan 2025
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen
Navid Naderializadeh
Alejandro Ribeiro
Shirin Saeedi Bidokhti
82
1
0
04 Apr 2024
Multi-Flow Transmission in Wireless Interference Networks: A Convergent
  Graph Learning Approach
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach
Raz Paul
Kobi Cohen
Gil Kedar
26
4
0
27 Mar 2023
Learning Control Admissibility Models with Graph Neural Networks for
  Multi-Agent Navigation
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Chenning Yu
Hong-Den Yu
Sicun Gao
24
17
0
17 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
19
16
0
09 Oct 2022
Relational Reasoning via Set Transformers: Provable Efficiency and
  Applications to MARL
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRL
LRM
49
10
0
20 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
26
22
0
17 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in
  Multi-Agent Deep Reinforcement Learning
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Haoxing Chen
Guang Yang
Junge Zhang
Qiyue Yin
Kaiqi Huang
13
2
0
02 Jun 2022
Residual Pathway Priors for Soft Equivariance Constraints
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi
Gregory W. Benton
A. Wilson
BDL
UQCV
24
50
0
02 Dec 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative
  Embodied Agents
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel
Saim Wani
Unnat Jain
A. Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
24
25
0
12 Oct 2021
Multi-Agent MDP Homomorphic Networks
Multi-Agent MDP Homomorphic Networks
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
44
28
0
09 Oct 2021
The Surprising Effectiveness of Visual Odometry Techniques for Embodied
  PointGoal Navigation
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
Xiaoming Zhao
Harsh Agrawal
Dhruv Batra
A. Schwing
28
40
0
26 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual
  Multi-Agent Reinforcement Learning
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
16
15
0
06 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
28
104
0
23 Jul 2021
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDL
AI4CE
9
155
0
30 Jun 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Yaodong Yang
Jianye Hao
Guangyong Chen
Hongyao Tang
Yingfeng Chen
Yujing Hu
Changjie Fan
Zhongyu Wei
18
52
0
10 Feb 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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