Human - AI Interaction Loop Training as a New Approach for Interactive Learning

This course focuses on human/AI interaction loop training as a novel approach for interactive learning in the context of reinforcement learning. The learning outcomes include understanding how to combine imitation learning (IL) with different types of reinforcement learning (RL) methods such as SARSA and PPO to leverage human feedback effectively. Participants will learn how to reduce teacher effort and exploration costs in training an agent to achieve predefined goals in complex environments. The course is designed for individuals interested in machine learning, reinforcement learning, and human-AI interaction.