Multiagent AGVs' dispatching system using multilevel decisions method

Proceedings of the American Control Conference

Volumn 2, Issue , 2002, Pages 1135-1136

  Li, Xiaomeng ^a   Geng, Tao ^a   Yang, YuPu ^a   Xu, Xiaoming ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DYNAMICS; LEARNING ALGORITHMS; MARKOV PROCESSES; MULTI AGENT SYSTEMS; ROBOT LEARNING; STATE SPACE METHODS;

AUTOMATED GUIDED VEHICLE; COOPERATIVE LEARNING METHOD; MARKOV GAME; MULTILEVEL DECISION METHOD; REINFORCEMENT LEARNING ALGORITHM;

UNMANNED VEHICLES;

EID: 0036056263     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Composite dispatching rules for multiple-vehicle AGV systems
2. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
3. Multiagent reinforcement learning: Theoretical framework and an algorithm
4. Scaling up average reward reinforcement learning by approximating the domain models and the value function