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A goal-conditioned reinforcement learning project where a simulated 2D nanorobot learns to reach various target positions, showcasing autonomous decision-making, trajectory optimization, and RL in robotics-inspired environments. Listed on XERJ Corpus Hub.
EEL6938-Spring2025: Trains RL agents (SAC, PPO, TD3, DDPG) to follow a speed profile using stable-baselines3; compares algorithms and hyperparameters via MAE, MSE, RMSE metrics.