Is centralized training with decentralized execution framework centralized enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently emerged as a
popular framework for cooperative Multi-Agent Reinforcement Learning (MARL), where …
popular framework for cooperative Multi-Agent Reinforcement Learning (MARL), where …
Inducing stackelberg equilibrium through spatio-temporal sequential decision-making in multi-agent reinforcement learning
In multi-agent reinforcement learning (MARL), self-interested agents attempt to establish
equilibrium and achieve coordination depending on game structure. However, existing …
equilibrium and achieve coordination depending on game structure. However, existing …
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
Recent advancements in reinforcement learning have witnessed remarkable achievements
by intelligent agents ranging from game-playing to industrial applications. Of particular …
by intelligent agents ranging from game-playing to industrial applications. Of particular …
Towards Intelligent Mobile Crowdsensing With Task State Information Sharing over Edge-Assisted UAV Networks
With the rapid development of edge computing technology, edge-assisted unmanned aerial
vehicle (UAV) networks have become popular, helping with fast and cost-effective data …
vehicle (UAV) networks have become popular, helping with fast and cost-effective data …
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
The objective of search result diversification (SRD) is to ensure that selected documents
cover as many different subtopics as possible. Existing methods primarily utilize a paradigm …
cover as many different subtopics as possible. Existing methods primarily utilize a paradigm …
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles
J Lian, Y Huang, M Wang, C Ma, Y Hao, Y Wen… - arXiv preprint arXiv …, 2024 - arxiv.org
For solving zero-sum games involving non-transitivity, a common approach is to maintain
population policies to approximate the Nash Equilibrium (NE). Previous research has shown …
population policies to approximate the Nash Equilibrium (NE). Previous research has shown …
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
Asynchronous action coordination presents a pervasive challenge in Multi-Agent Systems
(MAS), which can be represented as a Stackelberg game (SG). However, the scalability of …
(MAS), which can be represented as a Stackelberg game (SG). However, the scalability of …