or-gym
ml4vrp
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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
ml4vrp
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).
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated 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
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeepBeerInventory-RL - The code for the SRDQN algorithm to train an agent for the beer game problem
awesome-ml4co - Awesome machine learning for combinatorial optimization papers.
OpenGraphGym
stable-diffusion-webui - Stable Diffusion web UI
cryptosym - SAT-based, MILP, and belief propagation preimage attacks on SHA-256 and other cryptographic hash functions