A collection of Gradient-Based Meta-Learning Algorithms with pytorch
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
MAML and Reptile sine wave regression example in PyTorch
Modular framework for building self-modeling artificial agents with explicit internal state representation and meta-cognitive capabilities. Includes RL, hybrid, and dummy policies with integrated SelfModel monitoring and scientific metrics.
Prototypical Network implementation for prototype classes that allow you to make a ranking for a concept
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