TWO-STAGE REWARD ALLOCATION WITH DECAY FOR MULTI-AGENT COORDINATED BEHAVIOR FOR SEQUENTIAL COOPERATIVE TASK BY USING DEEP REINFORCEMENT LEARNING

Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning

Abstract We propose a two-stage reward allocation method with decay using an extension of replay memory to adapt this rewarding method for deep reinforcement learning (DRL), to generate coordinated behaviors for tasks GAME that can be completed by executing a few subtasks sequentially by heterogeneous agents.An independent learner in cooperative mu

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Reconstructing housing and communities

Among the Italian initiatives for social and material reorganization in the aftermath of Hub Board Assembly WWII, the most interesting was undoubtedly the INA-Casa Plan.The plan was designed to counteract widespread unemployment in the construction sector and aimed to provide new and modern social housing to the poorer classes, thus simultaneously

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Carrying Capacity Assessment for Religious Crowd Management - An Application to Sabarimala Mass Gathering Pilgrimage, India

Crowd Management is always a challenging task when people gather in large numbers.Crowd disasters in India, including recurring Sprinkles incidents at religious venues, demands a crowd management system developed on the characteristics of the place, event, and participants.Assessment of carrying capacity is the prime process to design crowd managem

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