5 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
Parameter Estimation with the Ordered Regularization via an Alternating Direction Method of Multipliers
Mahammad Humayoo, Xueqi Cheng
Regularization is a popular technique in machine learning for model estimation and avoiding overfitting. Prior studies have found that modern ordered regularization can be more eff…
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
Mahammad Humayoo, Gengzhong Zheng, Xiaoqing Dong +7
Off-policy learning exhibits greater instability when compared to on-policy learning in reinforcement learning (RL). The difference in probability distribution between the target p…