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TAIAT-Challenge

This project is based off the META-drive repo: https://github.com/decisionforce/metadrive

Place marl_tintersection.py under metadrive/metadrive/envs/marl_envs Place spawn_manager.py under metadrive/metadrive/manager (replace the original) Place state_obs.py under obs (replace the original) To run the T-intersection env: python -m metadrive.envs.marl_envs.marl_tintersection

Structure

HighLevelController is its own environment with the MetaDrive that we have been working on as a propoerty

Checklist

  • Change observation space:
    • obs = {agent# : [x,y]} with length 12
    • Q: Does coaltion need to be part of the observation or can it be part of the agent's name?
  • wrap the env.step() to simulate a traffic light
    • actions : [0:stop, 1:go]
  • Implement "controller" for human vehicles (they should know how to drive)
    • look into pid or idm
  • train PPO

Checkpoint locations

  1. [60., 0.] (left)
  2. [73.5, -13.499999999999996] (center)
  3. [83.5, -3.5] (right)