Essays about: "minimum reinforcement"

Showing result 1 - 5 of 19 essays containing the words minimum reinforcement.

  1. 1. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Emil Högstedt; Ove Ødegård; [2023]
    Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

  3. 2. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Mingwei Liu; [2023]
    Keywords : HEV; EMS; Deep Reinforcement Learning; Learning Efficiency; Fuel Efficiency; HEV; EMS; Djup Förstärkningsinlärning; Inlärningseffektivitet; Bränsleeffektivitet;

    Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE

  4. 3. Battery Storage as Grid Reinforcement for Peak Power Demands

    University essay from Linköpings universitet/Energisystem

    Author : Jesper Hilleberg; [2023]
    Keywords : Battery Storage; Battery Energy Storage System; Grid Reinforcement; Flexibility; Lithium-ion battery; li-ion battery; Large Scale Grid Storage; BESS; Energy Storage; Peak Power Demand; Batterilagring; Batterilagringsystem; Nätförstärkning; Nätförstärkningsåtgärd; toppeffektlaster; Flexibilitet; Flexibilitetslösning; litiumjonbatteri; li-ion batteri; BESS; energilagring;

    Abstract : An increased amount of intermittent electricity production, more electric vehicles (EV), and an overall electrification of society may all cause a higher variability between the balance of supply and demand on the electric grid. Battery storage has been identified as a solution to the emerging problem asit can be charged during hours of low power demand and then discharged to help meet the power demand during peak loads. READ MORE

  5. 4. Deep Reinforcement Learning Approach to Portfolio Optimization

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Lorik Sadriu; [2022]
    Keywords : Deep Reinforcement Learning; Portfolio Optimization; Portfolio performance; EMH; Business and Economics;

    Abstract : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. READ MORE

  6. 5. EVALUATION OF ENVIRONMENTAL AND TECHNICAL PERFORMANCE OF ALTERNATE FIBRES FOR SHOTCRETE IN TUNNELS

    University essay from KTH/Betongbyggnad

    Author : Shilpa Anand; [2022]
    Keywords : Shotcrete; Life cycle assessment; Environmental Product Declaration; Global warming potential; steel; basalt and synthetic fibres; flexural strength; energy absorption.;

    Abstract : Tunnels in hard and jointed rock are normally excavated in an arch shape to enable the rock mass to support its weight. Since the beginning of the 1980's, fibre reinforced shotcrete (FRS) in combination with rock bolts have been the dominating support method for hard rock tunnels. READ MORE