What are examples of reinforcement learning?
- Playing games like Go: Google has reinforcement learning agents that learn to solve problems by playing simple games like Go, which is a game of strategy.
- Self-driving cars: Reinforcement learning is used in self-driving cars for various purposes such as the following.
What are reinforcement learning problems? In reinforcement learning, an artificial intelligence faces a game-like situation. The computer employs trial and error to come up with a solution to the problem. To get the machine to do what the programmer wants, the artificial intelligence gets either rewards or penalties for the actions it performs.
What kind of problems can be solved with reinforcement learning? Reinforcement learning can make possible for a program to drive a vehicle, where the states correspond to driving conditions; for example, current speed, road segment information, surrounding traffic, speed limits, obstacles on the road, and actions could be driving maneuvers such as turn left/right, stop, accelerate,
What is meant by reinforcement learning give 1 example? In Reinforcement learning decision is dependent, So we give labels to sequences of dependent decisions. In supervised learning the decisions are independent of each other so labels are given to each decision. Example: Chess game. Example: Object recognition.