# Questions tagged [policies]

For questions related to policies (as defined in reinforcement learning or other AI sub-fields).

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### Is Q-learning only capable of learning a deterministic policy?

I was following a reinforcement learning course on coursera and in this video at 2:57 the instructor says Expected SARSA and SARSA both allow us to learn an optimal $\epsilon$-soft policy, but, Q-...
1 vote
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### What is the difference between a policy and rewards?

I don't understand the difference between a policy and rewards. Sure, a policy tells us what to do, but isn't the output of a neural network trained on rewards basically a policy (i.e. choose the ...
38 views

### What's the benefit of repeating an action for a consecutive number of time steps?

What's the benefit of repeating an action for a consecutive number of time steps? Is there a way to tell if an agent in a given environment might perform better from repeated actions? I came across an ...
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### Is the initialisation of $V(s)$ and $\pi(s)$ really arbitrary in policy iteration?

In Sutton and Barto's book (Reinforcement learning: An introduction. MIT press, 2018), the algorithm "Policy Iteration" is: Here, $V(s)$ is initialized arbitrarily, meaning that I can ...
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1 vote
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### How to allow RL systems to find better policies after code changes?

Suppose that in version 1 of a reinforcement-learning system an optimal policy $A$ got generated for executing a task. But, in a newer version 2 of that application (with new code changes), there ...
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1 vote
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### How to use and update a shared/global policy between Reinforcement Learning Agents

I would be grateful for some guidance on a RL problem I am trying to solve where multiple RL agents use a common/global policy at the initial state of an episode in the RL Environment, and then update ...
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### Is the policy really invariant under affine transformations of the reward function?

In the context of a Markov decision process, this paper says it is well-known that the optimal policy is invariant to positive affine transformation of the reward function On the other hand, ...
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### Can the importance sampling estimator have a non-stationary behaviour policy even if the target policy is stationary?

The inverse propensity score (IPS) estimator, which is used for off-policy evaluation in a contextual bandit problem, is well explained in the paper Doubly Robust Policy Evaluation and Optimization. ...
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### AlphaGo Zero: Does the policy head give a probability for every possible move?

If I understood correctly, the AlphaGo Zero network returns two values: a vector of logit probabilities p and a value v. My question is: in this vector that it is outputted, do we have a probability ...
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