Cover Image

Hierarchical Reinforcement Learning with Targeted Causal Interventions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khorasani, Sadegh, Salehkaleybar, Saber, Kiyavash, Negar, Grossglauser, Matthias
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Inference Time Causal Probing in LLMs
by: Khorasani, Sadegh, et al.
Published: (2026)

Efficiently Escaping Saddle Points for Policy Optimization
by: Khorasani, Sadegh, et al.
Published: (2023)

Measuring IIA Violations in Similarity Choices with Bayesian Models
by: Corrêa, Hugo Sales, et al.
Published: (2025)

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025)

Why Online Reinforcement Learning is Causal
by: Schulte, Oliver, et al.
Published: (2024)

Intervening to Learn and Compose Causally Disentangled Representations
by: Markham, Alex, et al.
Published: (2025)

ArrowFlow: Hierarchical Machine Learning in the Space of Permutations
by: Yilmaz, Ozgur
Published: (2026)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
by: Sauter, Andreas W. M., et al.
Published: (2024)

Data-Incremental Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2024)

A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
by: Avery, Katherine, et al.
Published: (2025)

LLM-Driven Intrinsic Motivation for Sparse Reward Reinforcement Learning
by: Quadros, André, et al.
Published: (2025)

OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)

A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis
by: Çakır, Efe, et al.
Published: (2025)

Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
by: Palma, Guilherme, et al.
Published: (2025)

ES-C51: Expected Sarsa Based C51 Distributional Reinforcement Learning Algorithm
by: Tandon, Rijul, et al.
Published: (2025)

Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory
by: Pawar, Urvi, et al.
Published: (2025)

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
by: Azorin, Raphael, et al.
Published: (2024)

Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment
by: Yasuno, Takato
Published: (2026)

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
by: Chapman, James, et al.
Published: (2025)

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning
by: Tomashevskiy, Timofey
Published: (2026)

Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
by: Poonia, Harsh, et al.
Published: (2025)

ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)

FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
by: Pivezhandi, Mohammad, et al.
Published: (2024)

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
by: Carballo, Víctor, et al.
Published: (2026)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
by: Ma, Zhenyao, et al.
Published: (2026)

Reinforcement Learning for Stock Transactions
by: Zhou, Ziyi, et al.
Published: (2025)

Bounded Ratio Reinforcement Learning
by: Ao, Yunke, et al.
Published: (2026)

Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
by: Narendra, Nanjangud C., et al.
Published: (2025)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)

An Idiosyncrasy of Time-discretization in Reinforcement Learning
by: De Asis, Kris, et al.
Published: (2024)

Expressive Value Learning for Scalable Offline Reinforcement Learning
by: Espinosa-Dice, Nicolas, et al.
Published: (2025)

Learning Transferable Predictability Representations
by: Goswami, Diyali, et al.
Published: (2026)

Symmetric Equilibrium Learning of VAEs
by: Flach, Boris, et al.
Published: (2023)