Who Reasons in the Large Language Models?
【DL輪読会】Who Reasons in the Large Language Models？ by @DeepLearning2023
投稿者: risa.murata
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
【DL輪読会】Emergent temporal abstractions in autoregressive models enable hierarchical re more
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
【DL輪読会】DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos by @De more
“Ctrl-World: A Controllable Generative World Model for Robot Manipulation”
【DL輪読会】"Ctrl-World: A Controllable Generative World Model for Robot Manipulation more
“COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANNING”
【DL輪読会】"COSMOS POLICY: FINE-TUNING VIDEO MODELS FOR VISUOMOTOR CONTROL AND PLANN more
AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model’s Quantization
【DL輪読会】AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Qu more
Self-Adapting Language Models(SEAL)
【DL輪読会】Self-Adapting Language Models(SEAL) by @DeepLearning2023
Dreamer 4: Training Agents Inside of Scalable World Models
【Diffusion勉強会】Dreamer 4: Training Agents Inside of Scalable World Models by @DeepLear more
“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”
【DL輪読会】"ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS" by more
Next-Latent Prediction Transformers Learn Compact World Models
【DL輪読会】Next-Latent Prediction Transformers Learn Compact World Models by @DeepLearnin more