search

Stanford-ILIAD / CARLO

2D Driving Simulator
MIT License
102 stars 37 forks source link

Thanks for your great work #2

Closed raozhongyu closed 3 years ago

raozhongyu commented 3 years ago

Thanks for your great work, I'm quite interested in your work, I'd like to konw would you release your whole code with the carlo env or carla env

ebiyik commented 3 years ago

Hello,

Thank you for your interest and kind words! This repo (master branch) contains only the simulation environment we have developed and used in the H-ReIL paper. The full training pipeline is not available online, as it makes use of multiple other works, but it should be easy to replicate it. Simply, you can (i) wrap the scenario in example_intersection.py as an OpenAI Gym environment, (ii) collect some data on it (using either the policy we provided, some human-collected data or any other control policy), (iii) train behavioral cloning or CoIL policies using those data, and finally (iv) train the high-level RL policy using OpenAI baselines or stable-baselines.