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How to use the learn2learn.algorithms.maml.maml_update function in learn2learn

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github learnables / learn2learn / examples / rl / maml_trpo.py View on Github external
def fast_adapt_a2c(clone, train_episodes, adapt_lr, baseline, gamma, tau, first_order=False):
    second_order = not first_order
    loss = maml_a2c_loss(train_episodes, clone, baseline, gamma, tau)
    gradients = autograd.grad(loss,
                              clone.parameters(),
                              retain_graph=second_order,
                              create_graph=second_order)
    return l2l.algorithms.maml.maml_update(clone, adapt_lr, gradients)

learn2learn

PyTorch Library for Meta-Learning Research

GitHub
MIT
Latest version published 2 years ago

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45 / 100
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