Author(s) :

Himanshi.

Volume/Issue :

Abstract :

The integration of Deep Reinforcement Learning (DRL) into AI-powered robotics represents a significant advancement in autonomous systems, enabling robots to make intelligent decisions, adapt to complex environments, and improve their performance over time through experience. This paper explores DRL’s applications in industries like manufacturing, healthcare, and autonomous transportation, highlighting key algorithms such as Deep Q-Networks and Actor-Critic models.

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