Abstract: This paper proposes a novel global path smoothing approach based on policy gradient parameter optimization. Firstly, an algorithm is introduced to sample path points suitable for computer ...
Abstract: Reward functions define an agent's behavior in reinforcement learning by determining actions based on the feedback received. In the domain of path following, reward functions guide the agent ...
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