CoPark uses multi-agent self-play RL with a residual policy and threat-modulated asymmetric prior release to achieve 70-85% success and 3-6% collision rates in reactive parking benchmarks.
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CoPark: Learning Reactive Parking via Self-Play
CoPark uses multi-agent self-play RL with a residual policy and threat-modulated asymmetric prior release to achieve 70-85% success and 3-6% collision rates in reactive parking benchmarks.