This brief paper presents a policy-improvement method of generating a feasible stochastic policy π ~ from a given feasible stochastic base-policy π such ...
In this paper, an optimization method for allocating hotel rooms to occupants is proposed. The objective of the model is to optimally admit customers in order ...
May 13, 2011 · Abstract This brief paper presents a policy-improvement method of generating a feasible stochastic policy ˜π from a given feasible ...
Apr 25, 2024 · A policy iteration heuristic for constrained discounted controlled Markov Chains. ... On Solving Controlled Markov Set-Chains via Multi-Policy ...
A policy iteration heuristic for constrained discounted controlled Markov chains. Optimization Letters. (2012). H.S. Chang et al. Simulation-based algorithms ...
165-178. H. S. Chang, "A Policy Iteration Heuristic for Constrained Discounted Controlled Markov Chains," Optimization Letters, Vol. 6, No. 7, 2012.10, pp ...
We discuss the heuristic version of policy iteration in section 5, followed by experiments using policy iteration and heuristic policy iteration in section 6.
This paper deals with constrained optimization of Markov Decision Processes with a countable state space, compact action sets, continuous transition ...
People also ask
What is policy Iteration in Markov decision process?
What is the Markov chain in optimization techniques?
This paper is an optimal policy iteration algorithm for solving DEC-POMDPs. The algorithm uses stochastic finite-state controllers to represent policies.
Posed in this way, our control problem can be viewed as a constrained optimization problem over a given class of policies. By specifying control rather than ...