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Daily AI Papers Briefing (2026-06-18)
【本日の論文】
1. LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
https://huggingface.co/papers/2606.18023
2. Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
https://huggingface.co/papers/2606.18216
3. ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
https://huggingface.co/papers/2606.17200
4. GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
https://huggingface.co/papers/2606.17861
5. LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
https://huggingface.co/papers/2606.16428
1. LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
https://huggingface.co/papers/2606.18023
2. Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
https://huggingface.co/papers/2606.18216
3. ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
https://huggingface.co/papers/2606.17200
4. GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
https://huggingface.co/papers/2606.17861
5. LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
https://huggingface.co/papers/2606.16428
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By ksterx【本日の論文】
1. LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
https://huggingface.co/papers/2606.18023
2. Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
https://huggingface.co/papers/2606.18216
3. ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
https://huggingface.co/papers/2606.17200
4. GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
https://huggingface.co/papers/2606.17861
5. LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
https://huggingface.co/papers/2606.16428
1. LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
https://huggingface.co/papers/2606.18023
2. Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
https://huggingface.co/papers/2606.18216
3. ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
https://huggingface.co/papers/2606.17200
4. GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
https://huggingface.co/papers/2606.17861
5. LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
https://huggingface.co/papers/2606.16428