no code implementations • 13 Nov 2021 • Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu
Obstacle avoidance for small unmanned aircraft is vital for the safety of future urban air mobility (UAM) and Unmanned Aircraft System (UAS) Traffic Management (UTM).
no code implementations • 12 Jun 2020 • Xuxi Yang, Werner Duvaud, Peng Wei
Decision-making agents with planning capabilities have achieved huge success in the challenging domain like Chess, Shogi, and Go.
no code implementations • 17 Mar 2020 • Marc Brittain, Xuxi Yang, Peng Wei
A novel deep multi-agent reinforcement learning framework is proposed to identify and resolve conflicts among a variable number of aircraft in a high-density, stochastic, and dynamic sector.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 25 May 2019 • Marc Brittain, Josh Bertram, Xuxi Yang, Peng Wei
Experience replay is widely used in deep reinforcement learning algorithms and allows agents to remember and learn from experiences from the past.
no code implementations • 8 May 2018 • Joshua R. Bertram, Xuxi Yang, Peng Wei
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision making under uncertainty.