2 papers
cs.AI2026
WM-R1: Training GUI Agents to Reason and leverage World Models with Reinforcement Learning
Yu Han, Tianwen Qian
GUI agents trained with reinforcement learning (RL) have showcased strong environment learning capabilities on mobile platforms. However, RL typically demands extensive real-enviro…
cs.LG2024
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
Teng Yan, Zhendong Ruan, Yaobang Cai +3
As a data-driven paradigm, offline reinforcement learning (Offline RL) has been formulated as sequence modeling, where the Decision Transformer (DT) has demonstrated exceptional ca…