Richard P. Sutton

Richard P. Sutton is a prominent computer scientist known for his work in artificial intelligence and reinforcement learning, a subset of machine learning. He co-authored the influential "Reinforcement Learning" textbook and developed key concepts such as the Temporal Difference learning method. Sutton’s research focuses on how machines can learn to make decisions by receiving feedback from their actions, similar to how humans learn from experience. His contributions have significantly advanced the understanding of how algorithms can be trained to solve complex problems, leading to applications in robotics, gaming, and various AI systems.