no code implementations • 11 Jan 2024 • Qilei Zhang, John H. Mott
Large Language Models (LLMs) hold transformative potential in aviation, particularly in reconstructing flight trajectories.
no code implementations • 10 Jan 2020 • Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li
In this paper, we proposed a deep interactive reinforcement learning method for path following of AUV by combining the advantages of deep reinforcement learning and interactive RL.
no code implementations • 18 Apr 2019 • Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He
Our results show that learning from demonstration can allow a TAMER agent to learn a roughly optimal policy up to the deepest search and encourage the agent to explore along the optimal path.