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News
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
3+ hour, 32+ min ago (189+ words) Krafton AI ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning We propose the first compression approach for image-toshape Diffusion Transformers (DiTs) that substantially reduces model size while preserving geometric fidelity. Despite remarkable progress in 3D shape generation, large DiT-based models remain…...
[GDC25] Smart Zoi in inZOI: Krafton’s Challenge for Human-Likeness
5+ mon, 6+ day ago (38+ words) Krafton AI [GDC25] Smart Zoi in inZOI: Krafton’s Challenge for Human-Likeness Next PostKrafton’s CEO CH Kim Meets Sam Altman: Exploring AI Integration in Gaming...