ADHint: Enhancing Reinforcement Learning with Adaptive Difficulty Priors

The article introduces ADHint, a novel approach that leverages adaptive hints and difficulty priors to improve reinforcement learning performance. While the specifics of the method are not detailed in the context, the title suggests a focus on optimizing exploration and exploitation strategies.

• •ADHint proposes an adaptive hints method.
• •The method utilizes difficulty priors.
• •The goal is likely to improve reinforcement learning performance.