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The problems of interest in RL have also been studied in the theory of optimal control, which is concerned mostly with the existence and characterization of optimal solutions, and algorithms for their exact computation, and less with learning or approximation (particularly in the absence of a mathematical model of the environment).
Richard S. Sutton FRS FRSC is a Canadian computer scientist.He is a professor of computing science at the University of Alberta and a research scientist at Keen Technologies. [1]
Model-free RL algorithms can start from a blank policy candidate and achieve superhuman performance in many complex tasks, including Atari games, StarCraft and Go.Deep neural networks are responsible for recent artificial intelligence breakthroughs, and they can be combined with RL to create superhuman agents such as Google DeepMind's AlphaGo.
A second term is commonly added to the objective function that allows the policy to incorporate the pre-training gradients. This term keeps the model from losing its initial language understanding ability while it learns new tasks based on human feedback by incorporating its original pre-training task of text completion.
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TD-Lambda is a learning algorithm invented by Richard S. Sutton based on earlier work on temporal difference learning by Arthur Samuel. [11] This algorithm was famously applied by Gerald Tesauro to create TD-Gammon, a program that learned to play the game of backgammon at the level of expert human players.
Latinos Define Their Identity In Stunning Photo Essay
A British radio host has been dubbed a hero without a cape after attempting to save a dog from a river. Jordan North, who hosts Capital Breakfast, was running along the banks of the River Thames ...