Learning a hierarchy

1. 1Apply hierarchical reinforcement learning to navigation problems
2. 2Discover high-level actions for walking and crawling in different directions
3. 3Use the learned actions to master new navigation tasks quickly
4. 4Experiment with the algorithm on various tasks requiring thousands of timesteps

AI engineers and researchers can leverage this algorithm to improve agent performance in complex tasks, while product managers can apply it to develop more efficient AI-powered products

💡 Hierarchical reinforcement learning can learn high-level actions useful for solving a range of tasks

🤖 New hierarchical RL algorithm enables fast task solving!