Essays about: "dependent agent"
Showing result 1 - 5 of 61 essays containing the words dependent agent.
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1. Tenant Separation on a multi-tenant microservice platform
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Axis Communications wishes to investigate their PaaS system, Axis Connected Services(ACX), with regard to separation of the tenants of the platform to ensure the implemented separation technologies are used correctly and to find out whether more separation is necessary. ACX ties together several previously separate services under a single umbrella, with the goal of improving usability and increasing inter-service functionalities and centralisation of the software products Axis has developed for their devices. READ MORE
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2. Self-Play Reinforcement Learning for Finding Intrusion Prevention Strategies
University essay from KTH/Matematisk statistikAbstract : This Master thesis studies automated intrusion prevention using self-play reinforcement learning. We extend a decision-theoretic model of the intrusion prevention use case based on optimal stopping theory proposed in previous work to a game-theoretic setting. READ MORE
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3. Embracing AWKWARD! A Hybrid Architecture for Adjustable Socially-Aware Agents
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This dissertation presents AWKWARD: a hybrid architecture for the development of socially aware agents in Multi-Agent Systems (MAS). AWKWARD bridges Artificial Intelligence (AI) methods for their individual and combined strengths; Behaviour Oriented Design (BOD) is used to develop reactive planning agents, the OperA framework is used to modeland validate agent behaviour as per social norms, and Reinforcement Learning (RL) is used to optimise plan structures that induce desirable social outcomes. READ MORE
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4. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE
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5. Learning Multi-Agent Combat Scenarios in StarCraft II with League Training : an exploration of advanced learning techniques on a smaller scale
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : Google DeepMind trained their state-of-the-art StarCraft II agent AlphaStar using leaguetraining with massive computational power. In this thesis we explore league training onsmall-scale combat scenarios in StarCraft II, using limited computational resources, to an-swer whether this approach is suitable for smaller problems. READ MORE