I'm a passionate Student and Researcher at Amirkabir University of Technology (AUT), pursuing a Bachelor's in Applied Mathematics with a minor in Computer Science.

My primary research interests are specifically in Deep Reinforcement Learning, AI Safety, and Sim-to-Real Transfer.

I have experience in RL research, including:

• Cross-Domain Offline RL: Working on optimal representation learning and developing a cross-domain diffusion policy.
• Safe and Efficient RL: Focused on improving RL agent safety.
• Cross-Domain RL Project: Training RL agents for domain transfer to enhance cross-environment generalization, utilizing representation and imitation learning.

• Programming Languages: Python, C++
• ML Frameworks: JAX, PyTorch, NumPy, Pandas
• RL Areas: Reinforcement Learning, Deep RL for Robotics, Imitation Learning, Safe and Efficient RL, Sim-to-Real Transfer

• Email: amiralifakhari9@gmail.com
• LinkedIn: linkedin.com/in/amirali-fakhari-zavareh