Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning

Akshay Mete, Shahid Aamir Sheikh, Tzu-Hsiang Lin +2

Efficient exploration remains a central challenge in reinforcement learning (RL), particularly in sparse-reward environments. We introduce Optimistic World Models (OWMs), a princip…