Q-Learning Algorithm with Double-Agent Reinforcement Learning for Smart Traffic Controller.

Jalu Reswara Nana Sutisna Infall Syafalni Trio Adiono

Published in: MWSCAS (2023)

Keyphrases

reinforcement learning
learning algorithm
learning agent
traffic signal
multi agent
action selection
reinforcement learning algorithms
optimal control
reinforcement learning agents
real time
control policy
partially observable
single agent
exploration strategy
reward function
traffic light
actor critic

learning capabilities
control strategies
state space
multiagent systems
network traffic
control system
reward shaping
intelligent agents
adaptive control
function approximation
multi agent environments
multi agent systems
state action
learning agents
state abstraction
traffic management
markov decision processes

control method
traffic control
markov decision process
reward signal
learning process
decision making
machine learning
active learning
traffic congestion
temporal difference
agent learns
dynamic environments
learning problems
fitted q iteration
multiple agents
supervised learning
software agents

learning tasks
training data
agent receives
dynamic programming
mobile agents
autonomous agents
control algorithm
learning rate
traffic flow
model free
rl algorithms
control scheme
optimal policy
machine learning algorithms
mobile robot
learning mechanism