I present a distributed mechanism for shared focus of attention that begins to address these prob- lems, using an engineered emergence approach inspired by.

We propose a Hierarchical Attention Master–Slave (HAMS) MARL, where the Hierarchical Attention balances the weight allocation within and among clusters.

While there has been work extending parameter sharing for heterogeneous agents (Terry et al., 2020), their methods rely on padding, which is neither elegant nor ...

Aug 21, 2021 · We propose heterogeneous graph attention networks, called HetNet, to learn efficient and diverse communication models for coordinating heterogeneous agents.

Shteynberg's model lists five empirically demonstrated effects of sharing attention: enhanced memory, stronger motivation, more extreme judgments, higher ...

Apr 8, 2022 · Parameter sharing, where each agent independently learns a policy with fully shared parameters between all policies, is a popular baseline ...

7 hours ago · To address these challenges, this study introduces a novel user-centric heterogeneous graph attention neural network feature enhancement model ...

Apr 5, 2024 · Except for the heterogeneous layer, the other layers' parameters in the ActorNet are shared by all the agents. When the number of agents ...

By sharing perception information among agents, it can significantly expand the perception range of agents. In the field of autonomous driving, it can ...

Jun 19, 2023 · It employs a shared common representation for both observation and action, enabling the integration of various input and output sources.