Assessing Multi-Agent Reinforcement Learning Algorithms for Autonomous Sensor Resource Management.
Trevor J. BihlAaron M. JonesPatrick FarrKayla StraubBrian BontempoFrank JonesPublished in: HICSS (2022)
Keyphrases
- resource management
- reinforcement learning algorithms
- reinforcement learning
- multi agent
- intelligent agents
- multi agent environments
- markov games
- model free
- cooperative
- markov decision processes
- state space
- management system
- reinforcement learning problems
- eligibility traces
- resource allocation
- reinforcement learning methods
- quality of service
- temporal difference
- resource utilization
- function approximation
- multiagent reinforcement learning
- learning algorithm
- grid computing
- single agent
- sensor networks
- resource usage
- reward function
- optimal policy
- multi agent systems
- real time
- stochastic games
- neural network
- reward shaping
- machine learning
- function approximators
- multiagent systems
- dynamic environments
- dynamic programming
- data mining
- java platform
- action selection
- multiple agents
- open source
- expert systems