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Found 2 papers, 1 papers with code
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
In this work, we formulate the end-to-end joint prediction problem as a sequential learning process of marginal learning and joint learning of vehicle behaviors.
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
In this paper, we propose CFR-RL (Critical Flow Rerouting-Reinforcement Learning), a Reinforcement Learning-based scheme that learns a policy to select critical flows for each given traffic matrix automatically.
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