Self Parking Agents with Reinforcement Learning

This repository contains experiments on self-parking using custom environments created from highway-env and trained using TQC from stable-baselines3.

A goal-conditioned continuous control task in which the ego-vehicle must park in a given space with the appropriate heading.

2 rows with walls	4 rows
6 rows	6 rows all cars
Additional Obstacles	Random agent location

Simulation results

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