Abstract: In a general reinforcement learning problem, a plant (state transition probabilities) is estimated and a learning policy for the estimated plant ...
In section III, we define the reinforcement learning problem on the set of variation plants and show that the principle of optimality does not hold in this ...
This study shows the reason why Bellman's principle of optimality does not hold and makes some relaxed problems whose solutions can be obtained, ...
Apr 25, 2024 · Kei Senda, Yurika Tani: Optimality principle broken by considering structured plant variation and relevant robust reinforcement learning.
Optimality principle broken by considering structured plant variation and relevant robust reinforcement learning. Conference Paper. Oct 2011. Kei ...
People also ask
What is meant by optimal policy in reinforcement learning?
What is the principle of optimality in operation research?
Optimality principle broken by considering structured plant variation and relevant robust reinforcement learning · K. SendaYurika Tani. Computer Science ...
Apr 25, 2024 · Optimality principle broken by considering structured plant variation and relevant robust reinforcement learning. SMC 2011: 477-483. [+][–] ...
This document contains notes related to what we cover in class. This is intended as a replacement for posting student notes each time the course is offered.
The proposed approach develops skills by reinforcement learning that considers plant variation, that is, modeling error. Numerical simulations and experiments ...
Jun 2, 2019 · In this work, we argue why this principle is important, and ways it can be broken or satisfied due to sub- tle choices in state representation ...
Missing: plant | Show results with:plant