AINeutralarXiv – CS AI · 8h ago6/10
🧠
Dual Advantage Fields
Researchers propose Dual Advantage Fields (DAF), a reinforcement learning method that extracts local policy signals from dual value representations to improve offline goal-conditioned learning. The approach combines global reachability estimates with local action preferences, showing strong performance on locomotion, manipulation, and puzzle tasks where direct movement toward goals isn't optimal.