[HTML][HTML] Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved particle swarm optimization with perturbed velocity
Classical Q-learning takes huge computation to calculate the Q-value for all possible actions
in a particular state and takes large space to store its Q-value for all actions, as a result of …
in a particular state and takes large space to store its Q-value for all actions, as a result of …
Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved particle swarm optimization with perturbed velocity
PK Das, HS Behera, BK Panigrahi - Engineering Science and Technology …, 2016 - infona.pl
Classical Q-learning takes huge computation to calculate the Q-value for all possible actions
in a particular state and takes large space to store its Q-value for all actions, as a result of …
in a particular state and takes large space to store its Q-value for all actions, as a result of …
[PDF][PDF] Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved particle swarm optimization with perturbed velocity
PK Das, HS Behera, BK Panigrahi - 2015 - cyberleninka.org
Classical Q-learning takes huge computation to calculate the Q-value for all possible actions
in a particular state and takes large space to store its Q-value for all actions, as a result of …
in a particular state and takes large space to store its Q-value for all actions, as a result of …
[PDF][PDF] Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved particle swarm optimization with perturbed velocity
PK Das, HS Behera, BK Panigrahi - 2015 - researchgate.net
Classical Q-learning takes huge computation to calculate the Q-value for all possible actions
in a particular state and takes large space to store its Q-value for all actions, as a result of …
in a particular state and takes large space to store its Q-value for all actions, as a result of …