Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations
Maximilian Schier,Christoph Reinders,Bodo Rosenhahn,Maximilian Schier,Christoph Reinders,Bodo Rosenhahn
Graph networks have recently been used for decision making in automated driving tasks for their ability to capture a variable number of traffic participants. Current high-level graph-based approaches, however, do not model the entire road network and thus must rely on handcrafted features for vehicle-to-vehicle edges encompassing the road topology indirectly. We propose an entity-relation framewor...
