DeepCubeAI

DeepCubeAI

• https://rlj.cs.umass.edu/2024/papers/Paper225.html
• https://paperswithcode.com/method/deepcubeai

DeepCubeAI is an algorithm that learns a discrete world model and employs Deep Reinforcement Learning methods to learn a heuristic function that generalizes over start and goal states. We then integrate the learned model and the learned heuristic function with heuristic search, such as Q* search, to solve sequential decision making problems.