scripts

Try it on Google Colab

This page contains example notebooks to train RL agents on highway-env using several RL libraries.

Using Stable Baselines3

Highway with DQN

Train a highway-v0 policy with DQN.

Highway with PPO

Train a highway-v0 policy with PPO.

Highway + DQN using a CNN and image observations

Train a highway-v0 policy with DQN, while using image observations and a CNN model architecture.

Parking with Hindsight Experience Replay

Train a goal-conditioned parking-v0 policy using the HER implementation from stable-baselines and hyperparameters from the RL Zoo.

Using eleurent/rl-agents

Trajectory Planning on Highway

Plan a trajectory on highway-v0 using the OPD implementation from rl-agents.

A Model-based Reinforcement Learning tutorial on Parking

A tutorial written for RLSS 2019 and demonstrating the principle of model-based reinforcement learning on the parking-v0 task.

Intersection with DQN and social attention

Train an intersection-v0 crossing policy using the social attention architecture and the DQN implementation from rl-agents.