Agent Learning via Early Experience
【DL輪読会】Agent Learning via Early Experience by @DeepLearning2023
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Humans and transformer LMs: Abstraction drives language learning
【DL輪読会】Humans and transformer LMs: Abstraction drives language learning by @DeepLearn more
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
【DL輪読会】Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players by @Deep more
Learning Latent Action World Models In The Wild
【DL輪読会】Learning Latent Action World Models In The Wild by @DeepLearning2023
Verbalizable Representations Form a Global Workspace in Language Models
【DL輪読会】Verbalizable Representations Form a Global Workspace in Language Models by @De more
ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning
【DL輪読会】ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning more
TRINITY: An Evolved LLM Coordinator
【DL輪読会】TRINITY: An Evolved LLM Coordinator by @DeepLearning2023
Learning to Theorize the World from Observation
【DL輪読会】Learning to Theorize the World from Observation by @DeepLearning2023
LaST₀: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model
【DL輪読会】LaST₀: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Act more