Tag: causal machine learning
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Sample-Efficient Neuro-Symbolic Deep RL for Better Learning
Discover a neuro-symbolic deep reinforcement learning method that boosts sample efficiency and generalization in complex environments.
Prospect Theory Limits in LLMs Under Epistemic Uncertainty
Explore the instability of decision-making in LLMs using Prospect Theory amid epistemic uncertainty and linguistic ambiguity.
Physics-Guided Learning Cuts Turbulent Wing Drag 28%
Discover how physics-guided surrogate learning enables zero-shot control of turbulent wings, reducing drag by 28.7% and boosting aircraft efficiency.
Rays as Pixels: Joint Video and Camera Trajectory Model
Discover Rays as Pixels, a novel model learning joint distributions of videos and camera trajectories for improved pose estimation and video generation.
PhysInOne: Largest Dataset for Physics AI Learning
Discover PhysInOne, the largest physics-based AI dataset with 2M videos and 153K 3D scenes to boost AI learning and physical reasoning.