Budapest, HU → ELTE IK · CS BSc
Going deep on RL, computer vision, and the engineering side of deep learning systems — building foundations for embodied AI work in MuJoCo, Isaac Lab, and ROS 2.
SIM/ROSisaaclab-quadruped-robust-locomotion — Isaac Lab Go2 locomotion with PPO/RSL-RL training, robustness/domain-randomization sweeps, policy export, ROS 2 bridge, fake robot-state publisher, and hardware-interface validation.RLmujoco-continuous-control — PPO for MuJoCo Walker2d/Ant continuous-control locomotion with squashed Gaussian policies, multi-seed evaluation, rollout videos, diagnostics, DockerRLrl-gymnasium — REINFORCE, DQN, PPO in PyTorch with reproducible configs, multi-seed eval, DockerCVunet-pet-segmentation — U-Net semantic segmentation on Oxford-IIIT Pet, 0.7422 mIoUDLtransformer-from-scratch — Attention, embeddings, training loop, from scratch in PyTorchCVresnet-cifar10 — ResNet on CIFAR-10, ~90% accuracy, clean training pipeline
SIMMuJoCo + Isaac Lab — embodied control simulationRLOffline RL, Decision TransformersCVVision-based control, perception-to-action pipelinesROSROS 2 middleware fundamentals