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Multi-Agent Reinforcement Learning Methods with Dynamic Parameters for Logistic Tasks.
Eugene Fedorov
Olga Nechyporenko
Yaroslav Korpan
Tetiana Neskorodieva
Published in:
CMIS (2024)
Keyphrases
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multi agent
reinforcement learning methods
reinforcement learning
multi agent systems
sensitivity analysis
genetic algorithm
dynamic environments
multiple agents
cooperative
function approximation
parameter tuning
neural network
markov random field
parameter estimation
reinforcement learning algorithms