Neural Networks Made Easy (part 62): Using Decision Transformer In Hierarchical Models

The Control Transformer is a new architecture that combines reinforcement learning, planning, and machine learning to create adaptive control strategies for complex problems in robotics and autonomous driving. It has the potential to solve challenges such as offline learning and planning in high-dimensional spaces.