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#trajectory-generation News & Analysis

2 articles tagged with #trajectory-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv โ€“ CS AI ยท Apr 137/10
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Advantage-Guided Diffusion for Model-Based Reinforcement Learning

Researchers propose Advantage-Guided Diffusion (AGD-MBRL), a novel approach that improves model-based reinforcement learning by using advantage estimates to guide diffusion models during trajectory generation. The method addresses the short-horizon myopia problem in existing diffusion-based world models and demonstrates 2x performance improvements over current baselines on MuJoCo control tasks.

AIBullisharXiv โ€“ CS AI ยท Mar 65/10
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K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Researchers propose K-Gen, a new multimodal AI framework that uses Large Language Models to generate realistic driving trajectories for autonomous vehicle simulation. The system combines visual map data with text descriptions to create interpretable keypoints that guide trajectory generation, outperforming existing baselines on major datasets.