AML Talk
Learning-Based Task Allocation in Decentralized Multirobot Systems
Poj Tangamchit
I will present present an efficient decentralized multirobot system
through the use of reinforcement learning coupled with heuristics to
accelerate the learning process. Our heuristic functions are not
reinforcement signals, but are biases to the learning space that
help accelerate the exploration process and have no effect on the
robot's knowledge. Two kinds of heuristics are used: local and
global. The local heuristic is derived from the local knowledge of
the robot, whereas the global heuristic is derived from the data
obtained from other robots. Both heuristics can help accelerating
the learning process.
Last modified: Fri Sep 22 14:39:33 EDT 2000