AI
GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation
Researchers have developed a new approach to robotic grasping called GOAG, which uses deep generativ...
AI
Credit Without Ground Truth: Auditing Step-Level Credit Assignment in LLM Agents Against Executed Replay
A new study examines how large language models (LLMs) assign credit to individual steps in a task. T...
AI
Finite-Horizon Input-Output Dynamics of Minibatch Perturbations in AdamW
Researchers have studied how the AdamW optimizer affects training dynamics beyond a single update cy...
AI
CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
Researchers have developed CoToGrasp, a new AI framework for synthesizing grasps that are conditione...
AI
Distilling Aggregate Mobility Statistics into a Language Model Policy for Post-Event Crowd Simulation
Researchers have developed a method to use aggregate mobility statistics to info...
AI
An Irreducible Quantum Advantage in Aligning World Models with Reality
Researchers have found a limitation in using classical world models to align age...
AI
LoRA-GA$^2$: Low Rank Adaptation with Multi-step Gradient Adaptive Alignment
Researchers have proposed a new fine-tuning method called LoRA-GA$^2$, which aim...
AI
MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM Agents
Researchers have proposed a new method for assigning credits in long-horizon rei...