Air learning to train deep reinforcement algorithm for aerial boat navigation

Air Learning, an open-source simulator and gym environment where researchers may train RL algorithms for UAV navigation, was recently built by researchers at Harvard University and Google Research. This one-of-a-kind environment, described in a study published in Springer Link’s Special Issue on Reinforcement Learning for Real Life, has the potential to improve the performance of autonomous UAVs in real-world scenarios Reinforcement learning (RL) algorithms have produced extremely promising results in allowing increased autonomy in robots in recent years. However, most contemporary RL approaches are largely concerned with the architecture of…

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