Shypd.aiThe largest open index of AI toolsmaml_rl is an open-source AI Agents & Automation tool that provides code for reinforcement learning experiments using Model-Agnostic Meta-Learning (MAML). It focuses on few-shot reinforcement learning for fast adaptation of deep networks.
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maml_rl is a code repository designed for researchers and developers working with reinforcement learning. It implements the experiments described in the paper "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" (Finn et al., ICML 2017). The tool specifically supports few-shot reinforcement learning, enabling deep networks to adapt quickly to new tasks. Built upon the rllab framework, maml_rl requires TensorFlow v1.0+ and is compatible with OpenAI Gym. While powerful, the current implementation is noted for being slow, and contributions to improve parallelization and speed are welcomed by the developers. It's an essential resource for those exploring meta-learning in the context of deep reinforcement learning.
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