Hierarchical Reinforcement Learning
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Benchmarks
Ant + Maze
Most implemented
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Hierarchical Reinforcement Learning for Automatic Disease Diagnosis
Learning Multi-Level Hierarchies with Hindsight
Papers
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating this behavior in quadrupedal robots has been a longstanding challenge. Here, we propose a hierarchical rei…
Hierarchical Reinforcement LearningEnhancing Social Intelligence in LLMs with Hierarchical Reasoning and Utterance-Level Goal Rewarding
Large language models (LLMs) excel in structured tasks but struggle with dynamic social interactions, where success requires long-term goal coordination and rapid adaptation. Current methods often apply uniform goal-base…
Hierarchical Reinforcement LearningHierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning
Exploration in sparse-reward long-horizon tasks poses significant challenges for reinforcement learning. To address these challenges, we propose a two-level Hierarchical Reinforcement Learning (HRL) framework. The first …
Hierarchical Reinforcement LearningContinuous ControlTwo-Timescale Hierarchical Reinforcement Learning for Resilient Operations
Unexpected shocks recur in global operations, requiring decision rules that adapt as market and operating conditions change. Many operational systems also have hierarchical structures in which long-term and short-term de…
Hierarchical Reinforcement LearningRAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC
Humanoid navigation in dynamic environments requires long-horizon planning while respecting short-horizon dynamic and safety constraints. Classical visibility-graph planners combined with model predictive control (MPC) c…
Hierarchical Reinforcement LearningHiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing
Modern processor verification struggles to reach deep architectural states due to the inefficiencies of traditional mutation-based fuzzing. We propose HiFuzz, a novel hierarchical reinforcement learning framework that re…
Hierarchical Reinforcement Learning