A non-deterministic policy is a function that maps each state s to a non-empty set of actions denoted by Π(s) ⊆ A(s). The agent can choose to do any action a ∈ Π(s) whenever the MDP is in state s. Here we will provide a worst-case analysis, presuming that the agent may choose the worst action in each state.
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A non-augmentable ε-optimal non-deterministic policy Π on an MDP M is a policy that is not augmentable according to the constraint in Eqn 6. It is easy to show ...
In this paper we introduce the new concept of non-deterministic MDP policies, and address the question of finding near-optimal non-deterministic policies. We ...
Definition 1. A non-deterministic policy Π on an MDP (S, A, T, R, γ) is a function that maps each state s ∈ S to a non-empty set of actions denoted by Π(s) ⊆ A ...
This paper introduces a framework for computing non-deterministic policies for MDPs. We believe this framework can be especially useful in the context of ...
In this paper we introduce the new concept of non-deterministic MDP policies, and address the question of finding near-optimal non-deterministic policies. We ...
In this paper we introduce the new concept of non-deterministic MDP policies, and address the question of finding near-optimal non-deterministic policies. We ...
Nov 3, 2010 · The only case where there is a stochastic optimal policy but not a deterministic one is when the distribution of the reward function varies (for ...
Feb 11, 2021 · This is a part of non deterministic policy, right? That is, it makes no sense for MDP to specify probabilities for actions. Rather policies ...
[PDF] CS 188: Artificial Intelligence Non-Deterministic Search
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▫ MDPs are non-deterministic search problems ... Quiz 1: For γ = 1, what is the optimal policy? ... ▫ Gives nonstationary policies (π depends on time left).