Multi-Agent Deep Reinforcement Learning for Mix-mode Runway Sequencing.
Limin ShiDuc-Thinh PhamSameer AlamPublished in: ITSC (2022)
Keyphrases
- reinforcement learning
- multi agent
- state space
- function approximation
- cooperative
- multi agent systems
- multi agent reinforcement learning
- multiagent systems
- markov decision processes
- model free
- reinforcement learning algorithms
- multi agent environments
- single agent
- learning agents
- supervised learning
- heterogeneous agents
- learning algorithm
- machine learning
- deep learning
- policy search
- reinforcement learning agents
- multiple agents
- optimal control
- learning process
- action selection
- reward function
- complex domains
- coalition formation
- learning problems
- temporal difference learning
- stochastic approximation
- partial observability
- intelligent agents
- optimal policy
- cooperative agents
- motion estimation
- neural network