Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). Hover, similar treatment of multi-agent systems is lacking. A recent complexity result, showing that solving decentralized MDPs is NEXP-hard, provides a partial explanation. To overcome this complexity barrier,  identify a general class of transition-independent decentralized MDPs that is widely applicable. The class consists of independent collaborating agents that are tied together through a global reward function that depends upon both of their histories.  present a novel algorithm for solving this class of problems and examine its properties. The result is the first effective technique to solve optimally a class of decentralized MDPs. This lays the foundation for further work in this area on both exact and approximate solutions.
['Raphen Becker', 'Shlomo Zilberstein', 'Victor R. Lesser', 'Claudia V. Goldman']
I am writing a research paper on a idea Transition-independent decentralized markov decision processes
[{"from": "human", "value": "I am writing a research paper on a idea Transition-independent decentralized markov decision processes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). Hover, similar treatment of multi-agent systems is lacking. A recent complexity result, showing that solving decentralized MDPs is NEXP-hard, provides a partial explanation. To overcome this complexity barrier,  identify a general class of transition-independent decentralized MDPs that is widely applicable. The class consists of independent collaborating agents that are tied together through a global reward function that depends upon both of their histories.  present a novel algorithm for solving this class of problems and examine its properties. The result is the first effective technique to solve optimally a class of decentralized MDPs. This lays the foundation for further work in this area on both exact and approximate solutions."}]