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cs.LG2021
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida +1
Uncrewed autonomous vehicles (UAVs) have made significant contributions to reconnaissance and surveillance missions in past US military campaigns. As the prevalence of UAVs increas…
cs.LG2021
Delayed Rewards Calibration via Reward Empirical Sufficiency
Yixuan Liu, Hu Wang, Xiaowei Wang +3
Appropriate credit assignment for delay rewards is a fundamental challenge for reinforcement learning. To tackle this problem, we introduce a delay reward calibration paradigm insp…