Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exploit later?  formulate this problem as a Markov Decision Process by explicitly modeling the internal state of the agent and propose a principled heuristic for its solution.  present experimental results in a number of domains, also exploring the algorithm's use for learning a policy for a skill given its reward function---an important but neglected component of skill discovery.
['Özgür Şimşek', 'Andrew G. Barto']
I am writing a research paper on a idea An intrinsic reward mechanism for efficient exploration
[{"from": "human", "value": "I am writing a research paper on a idea An intrinsic reward mechanism for efficient exploration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exploit later?  formulate this problem as a Markov Decision Process by explicitly modeling the internal state of the agent and propose a principled heuristic for its solution.  present experimental results in a number of domains, also exploring the algorithm's use for learning a policy for a skill given its reward function---an important but neglected component of skill discovery."}]