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  1. 1
    Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles

    Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

    Published 2021
    “…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
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    Shared mental model as an enabler of Malaysia waqf land development

    Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

    Published 2017
    “…By having an investigation towards this complex collaboration, the ontology of the SMM is not only being accessed in satisfying the different societal sectors objectives but also on how did the WSA deed was executed and accomplished by it.The relation and algorithm description were then being conceptualized and supported by the means of UML framework.Methodology - To gain an understanding into the application of SMM, a series of in-depth interview was conducted among the WSA main actors; Majlis Agama Islam Pulau Pinang(MAINPP) and UDA Holdings (UDA), Using an extract of WSA successful story, an empirical input- process output (I-P-O) UML outlay was used to scrutinize the indexed of the convergence and collectivity theme derived from these interview transcriptions.The iterative process of validation, refinement and peer review involves both actors and researchers. …”
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    Reinforcement learning-driven hybrid precopy/postcopy VM migration for energy-efficient data centers

    Reinforcement learning-driven hybrid precopy/postcopy VM migration for energy-efficient data centers by Hidayat, Taufik, Ramli, Kalamullah, Harwahyu, Ruki, Salman, Muhammad, Gunawan, Teddy Surya

    Published 2025
    “…The data center state and the resource load, including the CPU, memory, and network, are represented in the agent’s state space using a two-layer graph neural network (GNN), and the asynchronous advantage actor–critic (A3C) algorithm is employed to dynamically determine whether to continue the precopy phase or switch to postcopy and optimize the trade-off among the total migration time, downtime, and energy consumption while adhering to the service-level agreement (SLA) constraints. …”
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