It is not obvious when to stop the value iteration algorithm. One important result bounds the performance of the current greedy policy as a function of the Bellman residual of the current value ...

To find an optimal policy for an agent navigating a grid-world with slippery tiles, aiming to reach a goal state while maximizing expected rewards using value iteration algorithm. The problem involves ...

Point-based value iteration methods are a class of effective algorithms for solving POMDP model. However, most of these algorithms explore the belief point set by single heuristic criterion, thus ...

An adaptive dynamic programming value iteration algorithm is designed to solve nonlinear continuous-time nonzero-sum games in this paper. Since existing studies were developed on policy iteration, the ...

To find an optimal policy for an agent navigating a grid-world with slippery tiles, aiming to reach a goal state while maximizing expected rewards using value iteration algorithm. The problem involves ...