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Achieving a 95.24% win rate in multi-vehicle racing, SGTP redefines real-time planning by integrating game-theoretic principles with GPU-accelerated sampling.
Forget predefined maps: this VLN agent uses a learned, interactive world representation to achieve SOTA zero-shot performance and seamless sim-to-real transfer.
Achieve time-optimal MAV flight at 18 m/s in cluttered environments by combining imitation learning with model predictive contouring control.
