Racing-parameterized DRL policies for AV collision avoidance outperform an MPC-APF baseline in simulation across three scenarios, achieve zero-shot hardware transfer, and run at 31x fewer FLOPS with 64x lower latency.
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Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning
Racing-parameterized DRL policies for AV collision avoidance outperform an MPC-APF baseline in simulation across three scenarios, achieve zero-shot hardware transfer, and run at 31x fewer FLOPS with 64x lower latency.