Implementing the non-autoregressive algorithm DeepACO on RL4CO.
Motivation and Context
As a non-autoregressive algorithm, DeepACO leverages Ant Colony Optimization (ACO) algorithms to construct solutions without relying on autoregressive decoding, thereby extending the capabilities of RL4CO.
Types of changes
What types of changes does your code introduce? Remove all that do not apply:
[x] New feature (non-breaking change which adds core functionality)
Checklist
Go over all the following points, and put an x in all the boxes that apply.
If you are unsure about any of these, don't hesitate to ask. We are here to help!
[x] My change requires a change to the documentation.
[x] I have updated the tests accordingly (required for a bug fix or a new feature).
Description
Implementing the non-autoregressive algorithm DeepACO on RL4CO.
Motivation and Context
As a non-autoregressive algorithm, DeepACO leverages Ant Colony Optimization (ACO) algorithms to construct solutions without relying on autoregressive decoding, thereby extending the capabilities of RL4CO.
Types of changes
What types of changes does your code introduce? Remove all that do not apply:
Checklist
Go over all the following points, and put an
x
in all the boxes that apply. If you are unsure about any of these, don't hesitate to ask. We are here to help!