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ICM+RND分层新颖信号融合好奇心驱动PPO智能体 | Crafter 19.0% | Atari 3500+ | MiniGrid 2.5x | RTX3060 6GB显存优化2.2GB | 144单元测试 | MIT
python reinforcement-learning deep-reinforcement-learning pytorch exploration icm research-project rnd undergraduate game-ai intrinsic-motivation ppo onnx curiosity-driven sparse-reward ngu vite-react
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