Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...
At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...
Whether you like theoretical study or want to get your hands dirty, plenty of reinforcement learning resources are out there. When I was in graduate school in the 1990s, one of my favorite classes was ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...
Operant conditioning, sometimes called instrumental conditioning or Skinnerian conditioning, is a method of learning that uses rewards and punishment to modify behavior. Through operant conditioning, ...
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