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cs.LG2024
Time-Scale Separation in Q-Learning: Extending TD() for Action-Value Function Decomposition
Mahammad Humayoo
Q-Learning is a fundamental off-policy reinforcement learning (RL) algorithm that has the objective of approximating action-value functions in order to learn optimal policies. None…
cs.LG2024
Segmenting Action-Value Functions Over Time-Scales in SARSA via TD()
Mahammad Humayoo
In numerous episodic reinforcement learning (RL) environments, SARSA-based methodologies are employed to enhance policies aimed at maximizing returns over long horizons. Traditiona…