Master's Thesis
Autonomous system design by modeling the problem of passing the front vehicle with deep reinforcement learning method
Öndeki Aracı Geçme Probleminin Derin Pekiştirmeli Öğrenme Yöntemiyle Modellenerek Otonom Sistem Tasarımı
- Program
- M.Sc. in Computer Engineering
- Institution
- Erciyes University, Graduate School of Natural and Applied Sciences
- Department
- Department of Computer Engineering
- Supervisor
- Asst. Prof. Dr. Fehim Köylü
- Year
- 2023
- Status
- Completed
My master's thesis focused on modeling the autonomous overtaking problem using deep reinforcement learning and designing an autonomous decision-making system for autonomous vehicles.
Keywords / Methods
- Deep Reinforcement Learning
- Autonomous Driving
- Autonomous Overtaking
- Curriculum Learning
- PPO
- A2C
- DQN
- SAC
- TD3
Current PhD Research
Deep Reinforcement Learning in Contact-Rich Robotic Manipulation Tasks
- Program
- PhD in Computer Engineering
- Institution
- Ankara University, Graduate School of Natural and Applied Sciences
- Department
- Department of Computer Engineering
- Supervisor
- Prof. Dr. Mehmet Serdar Güzel
- Status
- Ongoing
My current PhD research focuses on deep reinforcement learning for contact-rich robotic manipulation tasks, with an emphasis on robot learning, peg-in-hole/insertion/assembly-style tasks, and real-world or sim-to-real learning settings.
Keywords / Methods
- Deep Reinforcement Learning
- Robot Learning
- Contact-rich Robotic Manipulation
- Peg-in-hole
- Insertion
- Assembly
- Model-based Reinforcement Learning
- Model-free Reinforcement Learning
- Sim-to-real