Covid 19 Testing, Reinforcement Learning.
maximize the total cumulative reward of the agent. In a DQN model, agent learns the action-value function Q(s, a): which optimal action to take in a particular situation. Agent tries random actions in the beginning (exploratory) to learn optimal action policy. An interesting concept in this model