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hierarchical reinforcement learning

171 papers

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Also known as

HRL HIERARCHICAL RL

Co-occurring keywords

temporal abstraction (75) reinforcement learning (4352) deep reinforcement learning (903) policy learning (702) skill discovery (45) transfer learning (5449) multi-agent system (1819) markov decision process (790) hierarchical learning (87) goal-conditioned policy (36)

Papers

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning NIPS 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023
End-to-End Entity Linking with Hierarchical Reinforcement Learning AAAI 2023
Hierarchical Multi-Agent Skill Discovery NIPS 2023
Natural Language Instruction-following with Task-related Language Development and Translation NIPS 2023
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions NIPS 2023
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023
Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation CVPR 2023
Creating Multi-Level Skill Hierarchies in Reinforcement Learning NIPS 2023
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NIPS 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NIPS 2022
Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022
Disentangling Controlled Effects for Hierarchical Reinforcement Learning CLEAR 2022
Wasserstein Unsupervised Reinforcement Learning AAAI 2022
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments NIPS 2022
Deep Hierarchical Planning from Pixels NIPS 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning IJCAI 2022
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract) IJCAI 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning CORL 2022
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022
Behavior Priors for Efficient Reinforcement Learning JMLR 2022
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes AAAI 2022
Fast inference and transfer of compositional task structures for few-shot task generalization UAI 2022
Relative Variational Intrinsic Control AAAI 2021