Reinforcement Learning for Robotic Arm Control
I trained a reinforcement learning agent in a custom Gymnasium environment to solve a robotic reach task using PyBullet physics. This project demonstrates my ability to implement RL algorithms, simulate robotic systems, and optimize control policies for real-world applications.
Custom training environment in Pybullet.
Training monitoring plot.
Training convergence plot.