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nrontsis
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PILCO
Bayesian Reinforcement Learning in Tensorflow
MIT License
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Resetting different components of PILCO: Models, controller and reward function
#13
kyr-pol
closed
5 years ago
6
How to derive the closed form for M, S, and C in squash_sin(m, s, max_action=None)
#12
thaipduong
closed
5 years ago
5
outputs from mgpr.predict_on_noisy_inputs and pilco.propagate confusion
#11
mcyip
closed
6 years ago
2
Make trigonometric augmentation user friendly
#10
nrontsis
opened
6 years ago
2
Add a more elaborate example
#9
nrontsis
closed
5 years ago
5
Fix RBF Controller
#8
nrontsis
closed
6 years ago
1
Improve numerical stability
#7
nrontsis
closed
4 years ago
3
Implement squashing function
#6
nrontsis
closed
6 years ago
0
Fix RBF controller
#5
petrikvladimir
closed
6 years ago
9
Extra noise in controller's input covariance
#4
nrontsis
opened
6 years ago
2
Test thoroughly against MATLAB's implementation.
#3
nrontsis
closed
6 years ago
1
Continuous Integration
#2
nrontsis
closed
6 years ago
1
Added __init__.py imports so that module names can be skipped.
#1
a5a
closed
6 years ago
1
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