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EvoPrompting: Language Models for Code-Level Neural Architecture Search Angelica Chen
Neural Information Processing Systems
Scaling of Transformers (V aswani et al., 2017) has produced language models (LM) with impressive
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EpisodicFutureThinkingMechanismforMulti-agent ReinforcementLearning
Neural Information Processing Systems
Onenaiveapproach to incorporate this ability into AI is through future trajectory prediction using model-based RL [40,19,31,54,28,26].
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