Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach

no code implementations • 10 Oct 2023 • Gyu Seon Kim, JaeHyun Chung, Soohyun Park

In the reusable rocket scenario, quantum reinforcement learning, which has reduced memory requirements due to fewer parameters, is a good solution.

Computational Efficiency reinforcement-learning

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility

no code implementations • 13 Nov 2022 • Chanyoung Park, Soohyun Park, Gyu Seon Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim

It has been considered that urban air mobility (UAM), also known as drone-taxi or electrical vertical takeoff and landing (eVTOL), will play a key role in future transportation.

reinforcement-learning Reinforcement Learning (RL)