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08/12/2021
A functional mirror ascent view of policy gradient methods with function approximation
We use functional mirror ascent to propose a general framework (referred...
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06/03/2021
Hierarchical Representation Learning for Markov Decision Processes
In this paper we present a novel method for learning hierarchical repres...
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11/12/2020
Hierarchical reinforcement learning for efficient exploration and transfer
Sparse-reward domains are challenging for reinforcement learning algorit...
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05/16/2020
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
The lifelong control problem of an off-grid microgrid is composed of two...
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05/13/2020
Adaptive Smoothing Path Integral Control
In Path Integral control problems a representation of an optimally contr...
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07/11/2018
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions
Gated recurrent neural networks have achieved remarkable results in the ...
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07/13/2017