Comments (2)
I've tried using pickle but it's unable to serialize the
PILCO
object after training.Is there a builtin save method? Or does another kind of serialization work? Thanks.
Hi, there was function to save and load model in pull requests Utils pr #17 when pilco using TF1 and GP1, but now no attribute 'read_values' in GP2. Have you any solutions now?
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Hello,
We can save controller parameters (best_parameters variable in pilco) by using pickle and recreating the controller based on these parameters.
Procedure :
- Save best_parameters of controller in pickle file during each iteration.
- Recreate controller using controller.py and these parameters.
- Use this controller on environment.
Example: For RBF controller
best_parameters contains: DataX, DataY, and Lengthscales. With these parameters, we can recreate RBF controller.
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Related Issues (20)
- Computation of cross-covariance of state and action
- Question about MGPR.
- Error with cloudpickle
- Computation time for policy optimization HOT 3
- Reference for predicting with uncertain inputs with SMGPR HOT 1
- Gradient based policy optimisation. HOT 4
- SMGPR : the induced points are different for each model HOT 1
- calculate_factorizations question HOT 1
- Cost for trajectory following HOT 3
- Cholesky decomposition was not successful. The input might not be valid. HOT 2
- [BUG] mountain_car.py fails due to missing import
- What is the V for in the predict_given_factorizations HOT 1
- installation: issue with gast, tensorflow HOT 6
- Could you please share exact version of some dependency packages
- Performance issue in the definition of create_models, pilco/controllers.py(P1)
- AttributeError: 'Parameter' object has no attribute 'value'
- NotImplementedError: Cannot convert a symbolic (graph mode) `DeferredTensor` to a numpy array. HOT 2
- Is squash_sin() right? HOT 1
- Bugs in model update? HOT 1
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