Rl4co
Visit Toolrl4co is an open-source PyTorch library for Reinforcement Learning (RL) in Combinatorial Optimization (CO). It provides a unified framework for RL-based CO algorithms, facilitating reproducible research.
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rl4co is an open-source PyTorch library for Reinforcement Learning (RL) in Combinatorial Optimization (CO). It provides a unified framework for RL-based CO algorithms, facilitating reproducible research.
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About
rl4co is a comprehensive PyTorch library dedicated to Reinforcement Learning (RL) for Combinatorial Optimization (CO). It offers a unified and flexible framework for developing and benchmarking RL-based CO algorithms, aiming to decouple scientific research from engineering complexities. Built upon TorchRL, TensorDict, PyTorch Lightning, and Hydra, rl4co provides efficient implementations of various policies including constructive (autoregressive and non-autoregressive) and improvement methods. The library also features modular components like environment embeddings, allowing for easy adaptation to new problems. It supports installation via pip and offers clear examples for training models with default or custom configurations, making it accessible for researchers and developers in the field.
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Open Source
Free
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