A. Galimov

A transformer-based reinforcement learning framework for autonomous training of industrial robotic manipulators

Autonomous robotic manipulation in modern manufacturing requires control policies that simultaneously achieve precision, adaptation, operational safety, and multi-task capability. This paper proposes a Transformer-Based Reinforcement Learning Network (TRL-Net) that combines temporal state encoding, task-cond...