(1) The History of Artificial Intelligence [slides]

(2) Neural Network Basics: MLP, RNN, and CNN [slides]

(3) Reinforcement Learning for Digital Applications[slides]

(4) Reinforcement Learning for Robotic Applications[slides][final project][resource]

(5) Game Theory and Multi-Agent Reinforcement Learning[slides]

(6) AI for Science[slides][ML-Agents]

(7) AIGC and LLMs[slides]

  — 2024 Autumn, Graduate —

Introduction to Artificial Intelligence

(1) MLP, RNN, and CNN [slides]

(2) Reinforcement Learning [slides]

(3) Intelligent Control for Robots [slides]

  — 2023 June 29 —

The Way to Humanoid Robots with Human-level Agility and Energy Efficiency [slides]

  — 2021 March 31 —

Towards Energy-efficient and Robust Humanoid Robots [slides]