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May 22, 2019 · In this work, we consider two inherent characteristics of human activities, the spatially-temporally varying salience of features and the ...
In this work, we consider two inherent characteristics of human activities, the spatially-temporally varying salience of features and the relations between ...
In this work, we con- sider two inherent characteristics of human activ- ities, the spatially-temporally varying salience of features and the relations between ...
A multi-agent spatial-temporal attention model that represents activities with collective motions across body parts by independently selecting modalities ...
Contribute to KaixuanChen/Multi-agent-Attentional-Activity-Recognition development by creating an account on GitHub.
Oct 29, 2024 · Our methodology adopts a mentalistic approach, explicitly modeling the internal attentional state of agents using an attention recognition ...
Jun 28, 2023 · Multiagent reinforcement learning (MARL) has made significant progress in optimizing the cumulative global rewards in these multiagent systems [ ...
Nov 9, 2021 · Most of the papers on multi agent RL (MARL) that I have encountered have multiple agents who have a common action space.
Missing: Attentional Activity Recognition.
Sep 14, 2024 · This paper does the following work. Firstly, it reviews the classical algorithms of RL and AM; Secondly, it systematically introduces the combination of RL and ...
Missing: Attentional Activity
Jul 9, 2024 · In this paper, we introduce an alternative approach to enhancing Multi-Agent Reinforcement Learning (MARL) through the integration of domain ...