torchrl
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.
A highly modular and extensible PyTorch-based reinforcement learning library.
RouteRL is a multi-agent reinforcement learning framework for urban route choice in different city networks.
