PALCAS applies federated RL and a novel priority-aware safe lane-change reward to improve AV lane changing decisions, reporting gains in efficiency, safety, comfort, arrival rates, and merging in SUMO simulations.
Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space
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PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning
PALCAS applies federated RL and a novel priority-aware safe lane-change reward to improve AV lane changing decisions, reporting gains in efficiency, safety, comfort, arrival rates, and merging in SUMO simulations.