Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning.
Cristino de Souza Jr.Rhys NewburyAkansel CosgunPedro CastilloBoris VidolovDana KulicPublished in: CoRR (2020)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- multi agent reinforcement learning
- multi agent systems
- decentralized decision making
- intelligent agents
- single agent
- multiple agents
- multi agent environments
- multiagent systems
- state space
- autonomous agents
- cooperative multi agent systems
- learning agents
- agent oriented
- model free
- reinforcement learning algorithms
- function approximation
- transfer learning
- distributed constraint optimization
- machine learning
- temporal difference
- learning capabilities
- software agents
- deep learning
- optimal policy
- heterogeneous agents
- control policy
- decision making
- distributed systems
- cooperative agents
- markov decision processes
- learning problems