Decentralized Multi-Agent Pursuit Using Deep Reinforcement Learning.
Cristino de SouzaRhys NewburyAkansel CosgunPedro CastilloBoris VidolovDana KulicPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- deep learning
- multi agent
- reinforcement learning
- machine learning
- cooperative
- decentralized decision making
- multi agent systems
- function approximation
- learning algorithm
- multiagent systems
- single agent
- multi agent reinforcement learning
- multi agent environments
- multiple agents
- intelligent agents
- reinforcement learning algorithms
- learning agents
- multiagent reinforcement learning
- autonomous agents
- state space
- cooperative multi agent systems
- supervised learning
- dynamic programming
- heterogeneous agents
- distributed systems
- agent oriented
- temporal difference
- software agents
- distributed constraint optimization
- mobile robot
- reinforcement learning methods
- transition model
- markov decision processes
- optimal policy
- action sets
- dynamic environments