Wontae Nam

Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty

Exploration based on state novelty has brought great success in challenging reinforcement learning problems with sparse rewards. However, existing novelty-based strategies become inefficient in real-world problems where observation contains not only task-dependent state novelty of our interest but a…