Cover Image

Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cho, Minjae, Sun, Chuangchuang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
by: Cho, Minjae, et al.
Published: (2024)

Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
by: Cho, Minjae, et al.
Published: (2024)

Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking
by: Cho, Minjae, et al.
Published: (2025)

Meta-learning how to Share Credit among Macro-Actions
by: Hosu, Ionel-Alexandru, et al.
Published: (2025)

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
by: Xue, Ke, et al.
Published: (2024)

Intrinsic Reward Policy Optimization for Sparse-Reward Environments
by: Cho, Minjae, et al.
Published: (2026)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
by: Shek, Chak Lam, et al.
Published: (2025)

HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents
by: Jin, Hongbo, et al.
Published: (2026)

Hierarchical Transformers are Efficient Meta-Reinforcement Learners
by: Shala, Gresa, et al.
Published: (2024)

Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
by: Kwon, Minjae, et al.
Published: (2025)

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)

Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
by: Wang, Haoran, et al.
Published: (2023)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
by: Kang, Minjae, et al.
Published: (2026)

An Updated Assessment of Reinforcement Learning for Macro Placement
by: Cheng, Chung-Kuan, et al.
Published: (2023)

Automated Discovery of Integral with Deep Learning
by: Yin, Xiaoxin
Published: (2024)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
by: Fan, Jiangdong, et al.
Published: (2024)

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
by: Dou, Jizhe, et al.
Published: (2024)

Learning to Inject: Automated Prompt Injection via Reinforcement Learning
by: Chen, Xin, et al.
Published: (2026)

Meta-Statistical Learning: Supervised Learning of Statistical Estimators
by: Peyrard, Maxime, et al.
Published: (2025)

Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
by: Pang, Jing-Cheng, et al.
Published: (2021)

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
by: Luo, Yu, et al.
Published: (2024)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
by: Zhang, Liyu, et al.
Published: (2024)

Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
by: Lotfi, Fatemeh, et al.
Published: (2025)

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
by: Li, Zongyue, et al.
Published: (2025)

Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
by: Sygkounas, Alkis, et al.
Published: (2026)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025)

Vintix: Action Model via In-Context Reinforcement Learning
by: Polubarov, Andrey, et al.
Published: (2025)

Automated Reinforcement Learning: An Overview
by: Afshar, Reza Refaei, et al.
Published: (2022)

Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning
by: Xiao, Minheng
Published: (2024)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
by: Zhang, Zhenshuo, et al.
Published: (2025)

MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
by: Baek, Seunghun, et al.
Published: (2025)

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
by: Wang, Cangqing, et al.
Published: (2024)

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
by: Cho, Eunbyeol, et al.
Published: (2025)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)

Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
by: Kramer, Stefan, et al.
Published: (2023)

Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
by: Sarathchandra, Sankani, et al.
Published: (2025)

Counterfactual Explanations for Continuous Action Reinforcement Learning
by: Dong, Shuyang, et al.
Published: (2025)