Looking for industrial-strength RL baselines? Head over to the RLlib baselines to find full implementations of methods such as Ape-X, PPO and imitation learning algorithms.
Let’s get our hands dirty with some simple reinforcement learning methods! We will solve tasks such as the one pictured below using DQN implementations written from scratch using PyTorch.
The single agent tutorial will guide through a basic Dueling Double DQN implementation which controls a single train
The multi agent tutorial shows how to extend this method in to the multi-agent setting
The code for these examples can be found in the flatland-examples repository.