Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization.
Mohib AzamXinlei ChenSusu XuPublished in: UbiComp/ISWC Adjunct (2022)
Keyphrases
- reinforcement learning
- multi agent
- cooperative
- real time
- mobile agents
- function approximation
- global optimization
- multi agent environments
- pedestrian detection
- state space
- optimization problems
- optimization algorithm
- bio inspired
- wheel slip
- model free
- autonomous agents
- multiagent systems
- dynamic environments
- particle swarm optimization
- reinforcement learning agents
- evolutionary algorithm
- low cost sensors
- multi agent reinforcement learning
- optimization method
- learning agents
- vehicle detection
- partially observable markov decision processes
- single agent
- reinforcement learning algorithms
- swarm intelligence
- markov decision processes
- dynamic programming
- learning process
- learning algorithm