Reinforcement Learning (RL) is a type of Machine Learning (ML) and Data Mining that focuses on taking suitable actions to maximize rewards in a given environment. It is an area of ML that has been gaining traction in recent years, as it has been used to solve complex problems in robotics, gaming, and autonomous driving. RL algorithms are based on trial and error, where an agent interacts with its environment and learns from the feedback it receives. This feedback is used to update the agent’s policy, which is then used to determine the next action. RL is used in a variety of industries, such as finance, healthcare, and manufacturing. It is also used to optimize decision-making processes, such as scheduling, resource allocation, and inventory management. Some companies in the RL market include DeepMind, OpenAI, Google, Microsoft, IBM, and NVIDIA. Show Less Read more
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