Deep Reinforcement learning is integrating Deep Learning techniques with Reinforcement learning models. The integration of these techniques can make wonders and can do complex decision-making tasks.
These are a few cool applications of Deep Reinforcement learning in recent years:
AlphaZero designed by the deep mind which can beat many chess champions
Mitosis detection for helping radiologists in detecting mitosis from cells.
Toxicity detection for different chemical structures to find the toxicity of chemicals.
If you are interested in learning Reinforcement, You can take up this Reinforcement learning training course.
You can know more about Deep Reinforcement learning from this video:
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