Heterogeneous Multi-agent Version of Highway-env
-
Updated
Jun 28, 2023 - Python
Heterogeneous Multi-agent Version of Highway-env
An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.
Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images
stress testing black-box AVs with MARL
Reinforcement Learning Final Project
Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks
Implementation of Deep Deterministic Policy Gradient (DDPG) method on autonomous vehicle within the highway-env
Interactive Learning, Fall 2022, University of Tehran
Add a description, image, and links to the highway-env topic page so that developers can more easily learn about it.
To associate your repository with the highway-env topic, visit your repo's landing page and select "manage topics."