Classic RL agents (Q-learning, SARSA, Expected SARSA) can learn to select among four fixed NoC routing algorithms to maintain near-optimal throughput under changing injection rates and traffic patterns.
Improving tcp congestion control with machine intelli- gence
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Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization
Classic RL agents (Q-learning, SARSA, Expected SARSA) can learn to select among four fixed NoC routing algorithms to maintain near-optimal throughput under changing injection rates and traffic patterns.