Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A macro-action is a typical series of useful actions that brings high expected rewards to an agent. Murata et al. have proposed an Actor-Critic model which can generate macro-actions automatically based on the information on state values and visiting frequency of states. Hover, their model has not assumed that generated macro-actions are utilized for leaning different tasks. ,  extend the Murata's model such that generated macro-actions can help an agent learn an optimal policy quickly in multi-task Grid-World (MTGW) maze problems. The proposed model is applied to two MTGW problems, each of which consists of six different maze tasks. From the experimental results, it is concluded that the proposed model could speed up learning if macro-actions are generated in the so-called correlated regions.
['Hiroshi Onda', 'Seiichi Ozawa']
I am writing a research paper on a idea A reinforcement learning model using macro-actions in multi-task grid-world problems
[{"from": "human", "value": "I am writing a research paper on a idea A reinforcement learning model using macro-actions in multi-task grid-world problems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A macro-action is a typical series of useful actions that brings high expected rewards to an agent. Murata et al. have proposed an Actor-Critic model which can generate macro-actions automatically based on the information on state values and visiting frequency of states. Hover, their model has not assumed that generated macro-actions are utilized for leaning different tasks. ,  extend the Murata's model such that generated macro-actions can help an agent learn an optimal policy quickly in multi-task Grid-World (MTGW) maze problems. The proposed model is applied to two MTGW problems, each of which consists of six different maze tasks. From the experimental results, it is concluded that the proposed model could speed up learning if macro-actions are generated in the so-called correlated regions."}]