activity
20232026
most citedValue of Information and Reward Specification in Active Inference and POMDPs

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

CoWorld Reasoner: Agentic Multimodal Reasoning with the Evolving Video World Model-Driven Harness

Dongjie Cheng, Ruifeng Yuan, Ran Wei +3

As Vision-Language Models (VLMs) advance, they are increasingly expected to perform spatiotemporal reasoning over motion, actions, and view changes beyond what the input images sho…

quant-ph2026

Efficient Estimation of Logical Sensitivities Through Fault-Counting

Winston Fu, J. Wilson Staples, Jeff D. Thompson

Quantum error-correcting circuits are affected by multiple physical noise mechanisms, whose contributions to logical failure must be understood to evaluate code performance and gui…

cs.CL2026

PalmClaw: A Native On-Device Agent Framework for Mobile Phones

Hongru Cai, Yongqi Li, Ran Wei +1

Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next ac…

cs.AI2024★ 2 cited

Value of Information and Reward Specification in Active Inference and POMDPs

Ran Wei

Expected free energy (EFE) is a central quantity in active inference which has recently gained popularity due to its intuitive decomposition of the expected value of control into a…

cs.LG2023★ 2 cited

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning

Ran Wei, Nathan Lambert, Anthony McDonald +2

Model-based Reinforcement Learning (MBRL) aims to make agents more sample-efficient, adaptive, and explainable by learning an explicit model of the environment. While the capabilit…