GoIRL couples maximum entropy inverse reinforcement learning with vectorized lane-graph features to predict multiple future trajectories, reporting competitive benchmark numbers but not the stated state-of-the-art on Argoverse.
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
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GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
GoIRL couples maximum entropy inverse reinforcement learning with vectorized lane-graph features to predict multiple future trajectories, reporting competitive benchmark numbers but not the stated state-of-the-art on Argoverse.