Learning Reusable Options for Multi-Task Reinforcement Learning

Garcia Francisco M.
Garcia Francisco M.
Nota Chris
Nota Chris
Cited by: 0|Bibtex|Views17
Other Links: arxiv.org

Abstract:

Reinforcement learning (RL) has become an increasingly active area of research in recent years. Although there are many algorithms that allow an agent to solve tasks efficiently, they often ignore the possibility that prior experience related to the task at hand might be available. For many practical applications, it might be unfeasible...More

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