IEEE

A Reinforcement Learning-Based Lagrangian Decomposition Approach for Energy-Oriented Scheduling Optimization in Steelmaking Process

Abstract: Steelmaking is a typical energy-intensive process that consumes large amount of electricity and oxygen, significantly impacting the total production cost. The production of steelmaking ...
IEEE

Sim-to-Real Transfer in Reinforcement Learning for Maneuver Control of a Variable-Pitch MAV

Abstract: Reinforcement learning (RL) algorithms can enable high-maneuverability in unmanned aerial vehicles (MAVs), but transferring them from simulation to real-world use is challenging.
techxplore

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement ...