27 citations · 27 across the 4 of their papers we have counts for
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cs.LG2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
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 dynam…
cs.LG2019★ 27 cited
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach
Marc Brittain, Peng Wei
Air traffic control is a real-time safety-critical decision making process in highly dynamic and stochastic environments. In today's aviation practice, a human air traffic controll…
cs.LG2019
Prioritized Sequence Experience Replay
Marc Brittain, Josh Bertram, Xuxi Yang +1
Experience replay is widely used in deep reinforcement learning algorithms and allows agents to remember and learn from experiences from the past. In an effort to learn more effici…