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Website that will visualise renforcement learning of a model trying to find the shortest path in a graph. Users will be able to select different starting points, ending points and number of iteration to visualize the learning performances of the agent

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HashiramaP/GraphReinforcmentLearning

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Graphrl

Graphrl is a web application designed to visualize and train reinforcement learning models for graph-based problems. The app allows users to interact with graphs, set start and end nodes, and visualize the model's learning process in real-time.

Website

graphrl.com

Features

  • Visualize graph structures with interactive nodes and edges.
  • Set start and end nodes to train the reinforcement learning model.
  • Track the training process and adjust the number of iterations.
  • Easy-to-use interface for training and managing graphs.

Installation

  1. Clone the repository:

    git clone https://github.com/HashiramaP/GraphReinforcmentLearning
  2. Install dependencies:

    npm install
  3. Run the app:

    npm run dev

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Website that will visualise renforcement learning of a model trying to find the shortest path in a graph. Users will be able to select different starting points, ending points and number of iteration to visualize the learning performances of the agent

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