Hello there, I'm Nikita 👋

🎓 About Me

I'm currently pursuing my Master's degree in Artificial Robotics at ITMO University. My academic journey is centered around exploring the fascinating world of Robotics, with a keen focus on Reinforcement Learning (RL) methods and Machine Learning (ML) techniques.

🤖 My Work

As a passionate learner and researcher, I'm deeply involved in studying and developing innovative RL algorithms that can enhance the capabilities of robotic systems. My goal is to contribute to the field by creating intelligent machines that can learn and adapt to their environment.

🌱 I’m currently learning

Advanced Reinforcement Learning strategies
State-of-the-art Machine Learning models
Robotic simulation and control

💼 Technical Skills

Languages: Python, MATLAB, C++
Frameworks/Libraries: TensorFlow, PyTorch, OpenAI Gym, ROS
Tools: Git, Docker, PyBullet, Gazebo

📫 How to reach me

Email: [email protected]
Telegram: @nikisim

✨ My GitHub Stats

Nikita Simonov's Projects

etg_for_offline_rl

Using ETG to collect dataset for UnitreeA1

mypracticalrl

My implementation of PraticalRL course & Homeworks

nikisim

Profile page

rebrac

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

rebrac_for_robotics_tasks

Implemenation of CORL for Fetch and Unitree A1 tasks

rl_cannonball

CannonEnv is a custom reinforcement learning environment built on the OpenAI Gym framework. It simulates the classic physics problem of determining the correct angle and velocity to fire a cannonball to hit a distant target. Actually, is is a toy exaple for understanding RL alogithms with continuous space and continuous action.