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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
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…
cs.LG2018
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards
Joshua R. Bertram, Xuxi Yang, Peng Wei
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision making under uncertainty. The classical approaches for solving MDPs are well known an…