SOTAVerified

Hierarchical Reinforcement Learning

Papers

Showing 276300 of 384 papers

TitleStatusHype
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?0
50 years since the Marr, Ito, and Albus models of the cerebellum0
Abstract Value Iteration for Hierarchical Reinforcement Learning0
Accelerating Task Generalisation with Multi-Level Skill Hierarchies0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning0
Active Geospatial Search for Efficient Tenant Eviction Outreach0
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments0
Adaptive Course Recommendation System0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery0
Adjacency constraint for efficient hierarchical reinforcement learning0
State-Conditioned Adversarial Subgoal Generation0
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning0
A Family of Cognitively Realistic Parsing Environments for Deep Reinforcement Learning0
A Framework for Constrained and Adaptive Behavior-Based Agents0
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation0
A Hierarchical Reinforcement Learning Framework for Multi-UAV Combat Using Leader-Follower Strategy0
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems0
A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks0
A Learning Approach for Joint Design of Event-triggered Control and Power-Efficient Resource Allocation0
Algorithms for Batch Hierarchical Reinforcement Learning0
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control0
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes0
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models0
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STARReturn0.85Unverified