Unverified50% confidenceFactExact time
Behavior Cloning (BC) is essentially a supervised learning problem that trains a policy network by minimizing the difference between predicted actions and expert actions.
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9/8/2026
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UnverifiedAn offline pretraining + online fine-tuning paradigm can be adopted where the policy network is first pretrained with behavioral cloning and then fine-tuned with SAC, provided that the BC data must be clean.76% similarUnverifiedBehavior cloning transforms policy learning into a supervised learning problem, using environment states as inputs and expert actions as labels to train a mapping function from states to actions.75% similarUnverifiedSelf-supervised learning is the core paradigm of the pre-training phase, where the model constructs training signals from the data itself through a next-token prediction task.68% similarUnverified强化学习训练出的NPC相比传统行为树能够在复杂动态环境中涌现出设计者未预设的行为策略68% similar
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