or-gym
Environments for OR and RL Research (by hubbs5)
| or-gym | OpenGraphGym | |
|---|---|---|
| 2 | 1 | |
| 355 | 8 | |
| - | - | |
| 0.0 | 10.0 | |
| 7 months ago | about 3 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
or-gym
Posts with mentions or reviews of or-gym.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
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Gym like frameworks for combinatorial optimization on Graphs?
How about ORGym: https://github.com/hubbs5/or-gym ?
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Is there a reinforcement learning method to find stock policy for single echelon inventory system ?
Specifically, inputs to I0 through L should be 1-column arrays: https://github.com/hubbs5/or-gym/blob/d5fbc73623c7b197316d33fba094105953889df3/or_gym/envs/supply_chain/inventory_management.py#L46
OpenGraphGym
Posts with mentions or reviews of OpenGraphGym.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
-
Gym like frameworks for combinatorial optimization on Graphs?
I was wondering if anyone knows of a gym like framework for combinaotrial optimization with reinforcement learning, which deal with max-cut, travelling sales person problem and other interesting problems on graphs, I have found one framework here https://github.com/wz26/OpenGraphGym but they do not have a gym interface, which makes it difficult for me to use standard rl libraries like RayRL or Stable baselines.
What are some alternatives?
When comparing or-gym and OpenGraphGym you can also consider the following projects:
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
ml4vrp - Geometric Deep Learning Models for Vehicle Routing Problem
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
NLNS - Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
DeepBeerInventory-RL - The code for the SRDQN algorithm to train an agent for the beer game problem