RL is used in Robot navigation, Robo-soccer, walking, juggling, etc.
Control:
RL can be used for adaptive control such as Factory processes, admission control in telecommunication, and Helicopter pilot is an example of reinforcement learning.
Game Playing:
RL can be used in Game playing such as tic-tac-toe, chess, etc.
Chemistry:
RL can be used for optimizing the chemical reactions.
Business:
RL is now used for business strategy planning.
Manufacturing:
In various automobile manufacturing companies, the robots use deep reinforcement learning to pick goods and put them in some containers.
Finance Sector:
The RL is currently used in the finance sector for evaluating trading strategies.
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