Power output variation diagram for each intelligent agent. حسب Weilin Wu (13736)

الموضوعات:

Incremental cost variation chart for each intelligent agent. حسب Weilin Wu (13736)

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Main code. حسب Jingguo Bi (21439766)

Single agent and multi-agents tasks for <i>LazyAct</i>. حسب Hongjie Zhang (136127)

"…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …"

Agent learning of FilmTrust dataset across various parameters. حسب Muhammad Waqar (500788)

Simulation of multiple agents minimizing the dissonance function following homophily حسب Mohsen Raoufi (18775639)

الموضوعات:

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. حسب Jiren CAO (20442214)

Overall flowchart of Multi-agent fusion model. حسب Yandong Liu (11893664)

الموضوعات:

Chromosome coding. حسب Junjie He (700642)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) حسب bowen pang (21837359)

"…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …"

Agent learning of ML100K dataset across various parameters. حسب Muhammad Waqar (500788)

Agent learning of ML latest-small dataset across various parameters. حسب Muhammad Waqar (500788)

The agent-environment interaction in reinforcement learning [3]. حسب Raed Alharthi (18340157)

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The ranking of algorithms with MPTM mutation by TOPSIS. حسب Jalal- ud-Din (21474307)

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The ranking of algorithms with NUM mutation by TOPSIS. حسب Jalal- ud-Din (21474307)

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The ranking of algorithms with PM mutation by TOPSIS. حسب Jalal- ud-Din (21474307)

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Algorithm Flow Chart. حسب Weilin Wu (13736)

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Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. حسب Hiroyuki Ichijo (13891153)

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Effects of Nash equilibrium attack and defense behaviors with the sensory–motor algorithm on encounters, agent numbers, and payoffs. حسب Hiroyuki Ichijo (13891153)

الموضوعات:

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"