Explain what happens in reinforcement learning if the agent always chooses the action that maximizes the...

Explain what happens in reinforcement learning if the agent always chooses the action that maximizes
the Q-value. Suggest two ways to force the agent to explore.

Expert Solution

In this case the agent will get stuck in non-optimal policies as the agent will not explore enough to find the best possible action from each of the state as the agent will always choose the action to maximize Q.

The two ways by which agent we can force the agent to explore is :

1) Set the initial values high. If the initial values are high the unexplored region will look good.

2) Make it pick random values occasionally so that it starts exploring.

venereology answered 2 years ago

In Reinforcement Learning, Is it possible for the agent to rely on the state value-based learning...

In Reinforcement Learning, Is it possible for the agent to rely on the state value-based learning approach to achieve its goal?

What is the difference between associative learning, reinforcement, conditioned stimuli, and discriminative stimuli? What is the...

What is the difference between associative learning, reinforcement, conditioned stimuli, and discriminative stimuli? What is the difference between incentive salience and goal-directed behavior? Question # 8: Compare and contrast the drive theory of drug addiction and the opponent-process theory of drug addiction? How does animal models of drug self-administration and drug reinstatement related to human models of drug relapse? How does the nucleus accumbens relates to the theories of drug addiction outlined in the chapter?

To what extent is feedback and reinforcement possible without an instructor present during the learning process?...

To what extent is feedback and reinforcement possible without an instructor present during the learning process? book: instructors and their jobs..w.r. miller, 2nd edition Chapter 2 Learning Process

please answe using typing what is the idea that MDPs and Reinforcement Learning are useful procedures in...

please answe using typing what is the idea that MDPs and Reinforcement Learning are useful procedures in AI Real life examples and engage in self-reflection, both common practices by researchers developing new AI techniques. Select a problem using MDPs and/or Reinforcement Learning that may arise in the real world.

What happens to the neurotransmitters after a new action potential has fired?

Learning from the Behaviorist Perspective A)Define/ explain what learning is. b) Explain what behaviorism, or the...

Learning from the Behaviorist Perspective A)Define/ explain what learning is. b) Explain what behaviorism, or the behaviorist perspective, is. c) Classical Conditioning (C.C.) - Define it.

a) What is the importance of feedback for maintaining a motivational climate b) Explain Reinforcement Theory...

a) What is the importance of feedback for maintaining a motivational climate b) Explain Reinforcement Theory of motivation. How can you apply this theory for providing a motivational climate at your workplace?

(1a) Explain what happens in Oxidation AND Reduction electrochemical reactions. (1b) What happens to the ions...

(1a) Explain what happens in Oxidation AND Reduction electrochemical reactions. (1b) What happens to the ions formed in the oxidation reaction?

? Kara Danvers (Supergirl) has always relied on her strength to win fights. But what happens...

? Kara Danvers (Supergirl) has always relied on her strength to win fights. But what happens when she meets an alien just as strong? Her sister is training her to be a more technical fighter so that Supergirl can meet any challenge. The data below record the significant strikes during randomly selected training sessions 6 months apart. Is Kara showing improvement in her fighting? Strikes (pre): 29 32 44 34 19 Strikes (post): 51 45 68 92 64 Write the...

What are some of the major risks even when an organization chooses the right innovation? Explain.

Question