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12 changes: 6 additions & 6 deletions AI-accelerated-routing/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,15 +8,15 @@ EARLI is a hybrid framework for solving the Vehicle Routing Problem (VRP). It us
The [EARLI repo](https://github.com/NVlabs/EARLI) integrates EARLI's framework with NVIDIA's cuOpt genetic algorithm solver.
This includes:
* **A parallelisable VRP environment** compatible with both gym and stable-baselines.
* **Training** code from a given data file of problem instances (see [training example notebook](examples/training_rl_agent_for_vrp.ipynb)).
* **Training** code from a given data file of problem instances (see [training example notebook](training_rl_agent_for_vrp.ipynb)).
* **Inference** code that generates multiple solutions for a set of given problem instances.
* **Integration to NVIDIA's cuOpt**: the generated solutions are injected to the solver as its initial population (see [inference example notebook](examples/initializing_cuopt_with_rl_solutions.ipynb)).
* **Integration to NVIDIA's cuOpt**: the generated solutions are injected to the solver as its initial population (see [inference example notebook](initializing_cuopt_with_rl_solutions.ipynb)).
* Several **pretrained RL models** are provided, based on synthetic training data.

### Contents
* [Examples](#examples)
* [Training example notebook](examples/training_rl_agent_for_vrp.ipynb)
* [Inference example notebook](examples/initializing_cuopt_with_rl_solutions.ipynb)
* [Training example notebook](training_rl_agent_for_vrp.ipynb)
* [Inference example notebook](initializing_cuopt_with_rl_solutions.ipynb)
* [Data](#data)
* [Cite Us](#cite-us)

Expand All @@ -32,9 +32,9 @@ This includes:

# Examples

Example for training is provided in [`training_rl_agent_for_vrp.ipynb`](examples/training_rl_agent_for_vrp.ipynb).
Example for training is provided in [`training_rl_agent_for_vrp.ipynb`](training_rl_agent_for_vrp.ipynb).

Example for inference is provided in [`initializing_cuopt_with_rl_solutions.ipynb`](examples/initializing_cuopt_with_rl_solutions.ipynb). It can be used with our pretrained RL agents provided under `pretrained_models/`, or with a new trained agent.
Example for inference is provided in [`initializing_cuopt_with_rl_solutions.ipynb`](initializing_cuopt_with_rl_solutions.ipynb). It can be used with our pretrained RL agents provided under `pretrained_models/`, or with a new trained agent.


# Data
Expand Down