Reinforcement learning can be thought of by analogy with a mouse in a maze: the mouse must find its way through an unknown environment to an ultimate reward, the cheese. To do so, the mouse must ...
Despite having a fraction of DeepSeek R1's claimed 671 billion parameters, Alibaba touts its comparatively compact 32-billion ...
This repository demonstrates a simple reinforcement learning approach to navigating a randomly generated maze (a “GridWorld”). The agent must learn to move from a start cell to a goal cell while ...
Abstract: Unsupervised skill discovery seeks to acquire different useful skills without extrinsic reward via unsupervised reinforcement learning (RL), with the discovered ... in the challenging ...
Studies using rodent and primate models, particularly in T-maze tasks, have highlighted the statistical ... on sensorimotor tasks, leveraging reinforcement learning (RL) to bypass the need for costly ...
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Reinforcement Learning(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...
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