A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
RouteRL is a multi-agent reinforcement learning framework for urban route choice in different city networks. This subpackage is developed to support its compatibility with URB until the full integration.
A modular reinforcement learning library
RouteRL is a multi-agent reinforcement learning framework for urban route choice in different city networks.
