Deep Reinforcement Learning: Applications And Challenges

Deep Reinforcement Learning (DRL) is a powerful tool for AI applications, allowing for end-to-end learning from unprocessed sensors or photos. It has been used in numerous fields, such as gaming, robotics, Natural Language Processing (NLP), transportation, industrial applications, communication and networking, and more. DRL has been used in games, such as card games, video games, and board games, with notable advancements in AI-powered gaming. It has also been used in video games, with CNNs being used to extract elements from the video frames for the agents to identify.