Abstract: In the context of interaction with unmodelled systems, it becomes imperative for a robot controller to possess the capability to dynamically adjust its actions in real-time, enhancing its ...
Abstract: Reinforcement learning (RL) shows promise for autonomous driving decision-making. However, designing appropriate reward functions to guide RL agents towards complex optimization objectives ...
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