Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Researchers have introduced the Dynamic Distributed Constraint Optimization Problem (Dynamic DCOP) formulation to model dynamically changing multi-agent coordination problems, where a dynamic DCOP is a sequence of (static canonical) DCOPs, each partially different from the DCOP preceding it. Existing work typically assumes that the problem in each time step is decoupled from the problems in other time steps, which might not hold in some applications. ,  introduce a new model, called Markovian Dynamic DCOPs (MD-DCOPs), where a DCOP is a function of the value assignments in the preceding DCOP.  also introduce a distributed reinforcement learning algorithm that balances exploration and exploitation to solve MD-DCOPs in an online manner.
['Duc Thien Nguyen', 'William Yeoh', 'Hoong Chuin Lau', 'Shlomo Zilberstein', 'Chongjie Zhang']
I am writing a research paper on a idea Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs
[{"from": "human", "value": "I am writing a research paper on a idea Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Researchers have introduced the Dynamic Distributed Constraint Optimization Problem (Dynamic DCOP) formulation to model dynamically changing multi-agent coordination problems, where a dynamic DCOP is a sequence of (static canonical) DCOPs, each partially different from the DCOP preceding it. Existing work typically assumes that the problem in each time step is decoupled from the problems in other time steps, which might not hold in some applications. ,  introduce a new model, called Markovian Dynamic DCOPs (MD-DCOPs), where a DCOP is a function of the value assignments in the preceding DCOP.  also introduce a distributed reinforcement learning algorithm that balances exploration and exploitation to solve MD-DCOPs in an online manner."}]