or-gym
DeepBeerInventory-RL
or-gym | DeepBeerInventory-RL | |
---|---|---|
2 | 1 | |
355 | 72 | |
- | - | |
0.0 | 0.0 | |
7 months ago | about 1 year ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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or-gym
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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
DeepBeerInventory-RL
What are some alternatives?
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).
neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.
ml4vrp - Geometric Deep Learning Models for Vehicle Routing Problem
Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
NLNS - Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
abce - Agent-based computational Economics, the Python library that makes AB modelling easier
OpenGraphGym