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Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment.
Zhixuan Liang
Jiannong Cao
Wanyu Lin
Jinlin Chen
Huafeng Xu
Published in:
CogMI (2021)
Keyphrases
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initially unknown
partially observable
multi robot
reinforcement learning
mobile robot
real robot
state space
markov decision processes
reward function
partial observability
path planning
decision problems
multiple robots
dynamical systems
partially observable markov decision process
partially observable domains
partially observable environments
uncertain environments
robotic systems
markov decision problems
multi robot systems
robot navigation
multi agent
multi robot exploration
function approximation
optimal policy
dynamic environments
robot teams
infinite horizon
model free
autonomous robots
belief state
dynamic programming
motion planning
multi agent systems
learning algorithm
reinforcement learning algorithms
machine learning
surveillance system
orders of magnitude
special case