Reinforcement Learning
Reinforcement learning, a core subfield of artificial intelligence and machine learning, focuses on training software agents to make optimal decisions within an environment. Unlike supervised learning, it uses rewards and penalties to guide learning, enabling agents to learn complex behaviors and strategies through trial and error. This powerful technique finds applications in robotics, game playing, resource management, and more. Explore the algorithms, techniques, and applications of this dynamic AI approach.
Reinforcement Learning (RL) in Healthcare
Learn about Reinforcement Learning (RL) in Healthcare, and how its application to the healthcare system can generate great results and be used to unlock more solutions.