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Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

11 June 2019
Georgios Papoudakis
Filippos Christianos
Arrasy Rahman
Stefano V. Albrecht
ArXivPDFHTML

Papers citing "Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning"

26 / 26 papers shown
Title
Cooperative Path Planning with Asynchronous Multiagent Reinforcement
  Learning
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning
Jiaming Yin
Weixiong Rao
Yu Xiao
Keshuang Tang
16
0
0
01 Sep 2024
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork
  Collaboration
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration
Xinzhu Liu
Peiyan Li
Wenju Yang
Di Guo
Huaping Liu
31
6
0
18 Jun 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay A. Atanasov
Eduardo Montijano
C. Sagüés
25
2
0
30 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
30
8
0
15 Dec 2023
Learning to Cooperate and Communicate Over Imperfect Channels
Learning to Cooperate and Communicate Over Imperfect Channels
Jannis Weil
Gizem Ekinci
Heinz Koeppl
Tobias Meuser
18
0
0
24 Nov 2023
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
22
3
0
22 Jun 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient
  Multi-Agent Reinforcement Learning
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
16
0
0
12 Apr 2023
Robotic Packaging Optimization with Reinforcement Learning
Robotic Packaging Optimization with Reinforcement Learning
E. Drijver
Rodrigo Pérez-Dattari
Jens Kober
Cosimo Della Santina
Zlatan Ajanović
OffRL
21
1
0
26 Mar 2023
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
Elliot Fosong
Arrasy Rahman
Ignacio Carlucho
Stefano V. Albrecht
19
5
0
09 Feb 2023
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement
  Learning
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
A. Rahman
Arnab Bhattacharya
Thiagarajan Ramachandran
Sayak Mukherjee
Himanshu Sharma
Ted Fujimoto
Samrat Chatterjee
21
5
0
20 Dec 2022
Multi-agent Dynamic Algorithm Configuration
Multi-agent Dynamic Algorithm Configuration
Ke Xue
Jiacheng Xu
Lei Yuan
M. Li
Chao Qian
Zongzhang Zhang
Yang Yu
34
29
0
13 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
27
4
0
28 Sep 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
44
101
0
19 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
18
0
0
31 May 2022
Sequential memory improves sample and memory efficiency in Episodic
  Control
Sequential memory improves sample and memory efficiency in Episodic Control
Ismael T. Freire
A. F. Amil
P. Verschure
OffRL
11
3
0
29 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Ahmed Khalil
A. Ahmad
...
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
AI4TS
14
37
0
12 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient
  Multi-Robot Systems
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay R. Kumar
95
53
0
25 Sep 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in
  High-Conflict Driving Scenarios
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing
Adam R. Villaflor
John M. Dolan
22
5
0
22 Mar 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter
  Sharing
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
17
114
0
15 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on
  Multi-Agent Reinforcement Learning
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijiao Zhang
Hao Liu
Fan Wang
Tong Bill Xu
Haoran Xin
Dejing Dou
Hui Xiong
27
79
0
15 Feb 2021
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
23
219
0
14 Jun 2020
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
25
83
0
30 Sep 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
30
549
0
12 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
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
111
595
0
28 Feb 2017
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