In recent years, a specific machine learning method called deep learning has gained huge
attraction, as it has obtained astonishing results in broad applications such as pattern …

Deep reinforcement learning is the combination of reinforcement learning (RL) and deep
learning. This field of research has been able to solve a wide range of complex …

Deep reinforcement learning (deep RL) combines deep learning and reinforcement
learning, in which artificial agents learn to solve sequential decision-making problems. In the …

Deep reinforcement learning (DRL) combines deep learning (DL) with a reinforcement
learning (RL) architecture. It has been able to perform a wide range of complex decision …

From Reinforcement Learning to Deep Reinforcement Learning: An Overview | SpringerLink
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Abstract Deep Reinforcement Learning is a topic that has gained a lot of attention recently,
due to the unprecedented achievements and remarkable performance of such algorithms in …

A growing body of evidence suggests that neural networks employed in deep reinforcement
learning (RL) gradually lose their plasticity, the ability to learn from new data; however, the …

Deep reinforcement learning has gathered much attention recently. Impressive results were
achieved in activities as diverse as autonomous driving, game playing, molecular …

Reinforcement Learning has evolved a long way with the enhancements from deep
learning. Recent research efforts into combining deep learning with Reinforcement Learning …

Driven by the recent technological advancements within the field of artificial intelligence
research, deep learning has emerged as a promising representation learning technique …