wheatley
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning (by jolibrain)
L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning" (by zcaicaros)
wheatley | L2D | |
---|---|---|
1 | 1 | |
32 | 245 | |
- | - | |
8.6 | 10.0 | |
5 days ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wheatley
Posts with mentions or reviews of wheatley.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
-
[D] What's the current state/consensus on using neural networks for solving combinatorial scheduling problems?
See L2D https://github.com/zcaicaros/L2D for a seminal work, and https://github.com/jolibrain/wheatley/ that beats L2D and extends to RCPSPs (aka scheduling with resources), a work by colleagues of mine, with application to real-world scheduling problems.
L2D
Posts with mentions or reviews of L2D.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
-
[D] What's the current state/consensus on using neural networks for solving combinatorial scheduling problems?
See L2D https://github.com/zcaicaros/L2D for a seminal work, and https://github.com/jolibrain/wheatley/ that beats L2D and extends to RCPSPs (aka scheduling with resources), a work by colleagues of mine, with application to real-world scheduling problems.