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08525631.pdf

08525631.pdf

 
 

CreatePsi.m

CreatePsi.m

 
 

PoWER_cor_bk_constant.m

PoWER_cor_bk_constant.m

 
 

PoWER_cor_bk_learned.m

PoWER_cor_bk_learned.m

 
 

PoWER_uncor_constant.m

PoWER_uncor_constant.m

 
 

PoWER_uncor_learned.m

PoWER_uncor_learned.m

 
 

README.md

README.md

 
 

dcp.m

dcp.m

 
 

plotComparison.m

plotComparison.m

 
 

target.m

target.m

 
 

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SAEPER

The MATLAB code for simulating different exploration rate updating methods for PoWER algorithm.
The paper Smooth and Efficient Policy Exploration for Robot Trajectory Learning has been accepted for publication in The 27th IEEE International Symposium on Robot and Human Interactive Comunication (RO-MAN).
See the paper https://ieeexplore.ieee.org/abstract/document/8525631 for more information.

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MATLAB code for simulation of Smooth and Efficient Policy Exploration for Robot Trajectory Learning

arxiv.org/abs/1804.04903

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