…curious how robust the reward recovery is when the max-entropy assumption is only approximately satisfied in real expert data. the core move—using the energy gradient as the denoising field and…
…Further analysis shows that agents are especially vulnerable when failures lack explicit error signals or when recovery requires longer alternative tool-use paths . These results establish PlanBench-XL as a testbed for…
…This privileged setup better conditions 4D recovery , allowing model-based object tracking, human motion estimation, and interaction-aware optimization to reconstruct metric 4D human-object interaction (HOI) trajectories with reduced depth ambiguity…
…As a result, models typically require extensive training on device-specific datasets, which are costly and laborious to acquire. This paper addresses these challenges by introducing EgoForce, a monocular 3D hand reconstruction…
…No dataset linking this paper Cite arxiv.org/abs/2605.10268 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…No dataset linking this paper Cite arxiv.org/abs/2606.16429 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…AI-generated summary Inductive Logic Programming (ILP) learns interpretable logical rules from data. Existing methods are transductive: their learned parameters are bound to specific predicates and require retraining for each new task…
…models or heavily curated difficult datasets, limiting scalable capability improvement. In this paper, we introduce DenoiseRL, a reinforcement learning framework that substitutes external supervision with recovery-oriented optimization over failures from weak…
…No dataset linking this paper Cite arxiv.org/abs/2605.04012 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…In low-data fine-tuning settings, DLR matches or outperforms supervised fine-tuning across four datasets and six models, achieving a mean gain of +6.6 percentage points, while prior discrete-latent…