https://github.com/k-karna/motion_planning
Autonomous Vehicle (AV) Motion Planning with Deep RL methods - DQN, PPO
https://github.com/k-karna/motion_planning
autonomous-driving deep-reinforcement-learning dqn farama-foundation motion-planning ppo stable-baselines3
Last synced: 12 months ago
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Autonomous Vehicle (AV) Motion Planning with Deep RL methods - DQN, PPO
- Host: GitHub
- URL: https://github.com/k-karna/motion_planning
- Owner: k-karna
- Created: 2025-02-01T05:00:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-15T16:46:41.000Z (about 1 year ago)
- Last Synced: 2025-06-15T17:35:09.647Z (about 1 year ago)
- Topics: autonomous-driving, deep-reinforcement-learning, dqn, farama-foundation, motion-planning, ppo, stable-baselines3
- Language: Jupyter Notebook
- Homepage:
- Size: 1.17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Motion Planning for HIGHWAY ENVIRONMENT (Farama)
Highway Environment has following tasks:
- Highway
- Merge
- RoundAbout
- Parking
- Intersection
- Racetrack
We are editing Reward Function in ``configuration`` to ascertain better results. Next, we are experimenting with hyparameters for Deep-Q Network (DQN) and Proximal Policy Optimization (PPO) for highest duration, reward, and time travelled