LEARNING
Hierarchical relative entropy policy search
DanielChristian, NeumannGerhard, KroemerOliver, PetersJan
- Year
- 2016
- Citations
- 32
Abstract
Many reinforcement learning (RL) tasks, especially in robotics, consist of multiple sub-tasks that are strongly structured. Such task structures can be exploited by incorporating hierarchical polic...
Keywords
Kullback–Leibler divergenceComputer scienceMathematicsEntropy (arrow of time)Artificial intelligencePhysicsThermodynamics
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