Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
In goal-conditioned hierarchical reinforcement learning (HRL), a high-level policy specifies a
subgoal for the low-level policy to reach. Effective HRL hinges on a suitable subgoal …
subgoal for the low-level policy to reach. Effective HRL hinges on a suitable subgoal …
Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
X Gao, J Liu, B Wan, L An - Neural Processing Letters, 2024 - Springer
Hierarchical reinforcement learning (HRL) has achieved remarkable success and significant
progress in complex and long-term decision-making problems. However, HRL training …
progress in complex and long-term decision-making problems. However, HRL training …
Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning
J Park, S Oh, Y Kim - Proceedings of the 33rd ACM International …, 2024 - dl.acm.org
Hierarchical Reinforcement Learning (HRL) is specially designed for environments
characterized by long-term goals and sparse rewards. High-level policies in HRL learn to …
characterized by long-term goals and sparse rewards. High-level policies in HRL learn to …