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Cross-Episodic Curriculum Cross-Episodic Curriculum for Transformer Agents Lucy Xiaoyang Shi 1 * Yunfan Jiang 1 * Jake Grigsby 2 Linxi "Jim" Fan 3 † Yuke Zhu 2 3 † 1 Stanford University 2 The University of Texas at Austin 3 NVIDIA Research * Equal contribution † Equal advising Paper | Bibtex | Code Neural Information Processing Systems (NeurIPS), 2023 We present a new algorithm, Cross-Episodic Curriculum (CEC), to boost the learning efficiency and generalization of Transformer agents. Central to CEC is the placement of cross-episodic experiences into a Transformer’s context, which forms the basis of a curriculum. By sequentially structuring online learning trials and mixed-quality demonstrations, CEC constructs curricula that encapsulate learning progression and proficiency increase across episodes. Such synergy combined with the potent pattern recognition capabilities of Transformer models delivers a powerful cros...
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