Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes.
Laëtitia MatignonLaurent JeanpierreAbdel-Illah MouaddibPublished in: AAAI (2012)
Keyphrases
- markov decision processes
- decentralized control
- multi robot exploration
- state space
- finite state
- multi agent
- decision theoretic planning
- dynamic programming
- reinforcement learning
- policy iteration
- optimal policy
- transition matrices
- cooperative
- multi robot
- multiple robots
- reachability analysis
- action space
- average reward
- markov decision process
- action sets
- infinite horizon
- planning under uncertainty
- average cost
- state and action spaces
- partially observable
- dec pomdps
- model based reinforcement learning
- mobile robot
- multiagent systems
- multi agent systems
- discounted reward
- learning algorithm