Questions tagged [value-based-methods]

For questions about value-based reinforcement learning (RL) methods (or algorithms), which first learn a value function and then derive the policy from it. An example of a value-based RL algorithm is Q-learning.

3 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
1
vote
0answers
66 views

What kind of reinforcement learning method does AlphaGo Deepmind use to beat the best human Go player?

In reinforcement learning, there are model-based versus model-free methods. Within model-based ones, there are policy-based and value-based methods. AlphaGo Deepmind RL model has beaten the best Go ...
1
vote
0answers
43 views

What are the disadvantages of actor-only methods with respect to value-based ones?

While the advantages of actor-only algorithms, the ones that search directly the policy without the use of the value function, are clear (possibility of having a continuous action space, a stochastic ...
1
vote
0answers
27 views

Are policy-based methods better than value-based methods only for large action spaces?

In different books on reinforcement learning, policy-based methods are motivated by their ability to handle large (continuous) action spaces. Is this the only motivation for the policy-based methods? ...