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Aliza Ashfaq

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#edge computing Review Aug 2026

Enhancing Stable Behavioral Imitation through Adaptive Reward Weighting in TD3-SAC-GAIL

The results demonstrate the potential of adaptive reward weighting to provide a systematic mechanism for controlling the exploration–imitation trade-off and enhancing the stability and robustness of GAIL-based policy learning while retaining the exploration advantages of the TD3-SAC hybrid framework.

Mehran Ali, Zia Ullah, Aliza Ashfaq · 0 citations