Questions tagged [stochastic-policy]

For questions related to the concept of a "stochastic policy" (as defined in reinforcement learning).

Filter by
Sorted by
Tagged with
2
votes
1answer
34 views

Is a learned policy, for a deterministic problem, trained in a supervised process, a stochastic policy?

If I trained a neural network with 4 outputs (one for each action: move down, up, left, and right) to move an agent through a grid (deterministic problem). The output of the neural network is a ...
2
votes
1answer
253 views

Did Alphago zero actually beat Alphago 100 games to 0?

tl;dr Did AlphaGo and AlphaGo play 100 repetitions of the same sequence of boards, or were there 100 different games? Background: Alphago was the first superhuman go player, but it had human tuning ...
3
votes
1answer
190 views

Why is tic-tac-toe considered a non-deterministic environment?

I have been reading about deterministic and stochastic environments, when I came up with an article that states that tic-tac-toe is a non-deterministic environment. But why is that? An action will ...
3
votes
1answer
57 views

In the policy gradient equation, is $\pi(a_{t} | s_{t}, \theta)$ a distribution or a function?

I am learning about policy gradient methods from the Deep RL Bootcamp by Peter Abbeel and I am a bit stumbled by the math presented. In the lecture, he derives the gradient logarithm likelihood of a ...
3
votes
1answer
58 views

What's the value of making the RL agent's output stochastic opposed to deterministic?

I have a question about a reinforcement learning problem. I'm training an agent to add or delete pixels in a [12 x 12] 2D space (going to be 3D in the future). Its action space consists of two ...
2
votes
1answer
81 views

Is it possible for value-based methods to learn stochastic policies?

Is it possible for value-based methods to learn stochastic policies? I'm trying to get a clear picture of the different categories for RL algorithms, and while doing so I started to think about ...
3
votes
3answers
3k views

What is the difference between a stochastic and a deterministic policy?

In reinforcement learning, there are the concepts of stochastic (or probabilistic) and deterministic policies. What is the difference between them?
12
votes
3answers
2k views

Is the optimal policy always stochastic if the environment is also stochastic?

Is the optimal policy always stochastic (that is, a map from states to a probability distribution over actions) if the environment is also stochastic? Intuitively, if the environment is ...
3
votes
1answer
556 views

Can Q-learning be used to derive a stochastic policy?

In my understanding, Q-learning gives you a deterministic policy. However, can we use some technique to build a meaningful stochastic policy from the learned Q values? I think that simply using a ...