Knowledge Quiz
Test your understanding of this article
1.What is a primary limitation of traditional Reinforcement Learning algorithms as described in the abstract?
2.What is the desired outcome in 'many natural situations' that traditional RL algorithms often fail to achieve?
3.What is a major challenge with existing RL techniques that assume a target distribution is available a priori?
4.How does the proposed algorithm in the paper define goal states in the formalized Multi Goal RL problem?