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Achieving up to 70.6% fewer samples for optimal closed-loop performance could revolutionize how we approach online adaptation in reinforcement learning.
Achieving a 95.24% win rate in multi-vehicle racing, SGTP redefines real-time planning by integrating game-theoretic principles with GPU-accelerated sampling.
