Reinforcement Learning for Robotics
Introduction to Reinforcement Learning for Robot / Drone.
Reinforcement Learning
This introduction includes Policy Gradient, Taxonomy of RL Algorithms, Open Environments (OpenAI Gym, DeepMind OpenSpeil, PyBullet), AI in Games, Multi-Agent RL, Imitation Learning , Meta Learning.
Autonomous Driving
Autonomous Driving includes SAE, Surveys, Datasets, Camera-based / LiDAR-based Methods, End-to-End Learning, Car Simulators, and Road Tests, Self-Driving 2.0