Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The article poses a general model for optimal control subject to information constraints, motivated in part by recent work of Sims and others on information-constrained decision making by economic agents. In the average-cost optimal control framework, the general model introduced in this paper reduces to a variant of the linear-programming representation of the average-cost optimal control problem, subject to an additional mutual information constraint on the randomized stationary policy. The resulting optimization problem is convex and admits a decomposition based on the Bellman error, which is the object of study in approximate dynamic programming. The theory is illustrated through the example of information-constrained linear quadratic Gaussian control problem. Some results on the infinite-horizon discounted-cost criterion are also presented.
['Ehsan Shafieepoorfard', 'Maxim Raginsky', 'Sean P. Meyn']
I am writing a research paper on a idea Rationally inattentive control of Markov processes
[{"from": "human", "value": "I am writing a research paper on a idea Rationally inattentive control of Markov processes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The article poses a general model for optimal control subject to information constraints, motivated in part by recent work of Sims and others on information-constrained decision making by economic agents. In the average-cost optimal control framework, the general model introduced in this paper reduces to a variant of the linear-programming representation of the average-cost optimal control problem, subject to an additional mutual information constraint on the randomized stationary policy. The resulting optimization problem is convex and admits a decomposition based on the Bellman error, which is the object of study in approximate dynamic programming. The theory is illustrated through the example of information-constrained linear quadratic Gaussian control problem. Some results on the infinite-horizon discounted-cost criterion are also presented."}]