Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Darvariu, Victor-Alexandru, Hailes, Stephen, Musolesi, Mirco
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models are Effective Priors for Causal Graph Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)

Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)

Graph Neural Modeling of Network Flows
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
by: Pisacane, Alexei, et al.
Published: (2024)

Information-Theoretic State Variable Selection for Reinforcement Learning
by: Westphal, Charles, et al.
Published: (2024)

Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
by: Tennant, Elizaveta, et al.
Published: (2024)

Partial Information Decomposition for Data Interpretability and Feature Selection
by: Westphal, Charles, et al.
Published: (2024)

Moral Alignment for LLM Agents
by: Tennant, Elizaveta, et al.
Published: (2024)

Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
by: Tennant, Elizaveta, et al.
Published: (2023)

Opponent Shaping in LLM Agents
by: Segura, Marta Emili Garcia, et al.
Published: (2025)

Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
by: Wolf, Lorenz, et al.
Published: (2023)

Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
by: Franceschelli, Giorgio, et al.
Published: (2024)

Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
by: Franceschelli, Giorgio, et al.
Published: (2023)

JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
by: Çakır, Ufuk, et al.
Published: (2025)

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)

CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)

A Generalized Information Bottleneck Theory of Deep Learning
by: Westphal, Charles, et al.
Published: (2025)

On Distributional Reinforcement Learning in Chaotic Dynamical Systems
by: Rudd-Jones, James, et al.
Published: (2026)

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
by: Schutz, Alex, et al.
Published: (2025)

Mutual Information Preserving Neural Network Pruning
by: Westphal, Charles, et al.
Published: (2024)

Copyright in Generative Deep Learning
by: Franceschelli, Giorgio, et al.
Published: (2021)

Creativity and Machine Learning: A Survey
by: Franceschelli, Giorgio, et al.
Published: (2021)

DeepCreativity: Measuring Creativity with Deep Learning Techniques
by: Franceschelli, Giorgio, et al.
Published: (2022)

Emergent Semantic Role Understanding in Language Models
by: Griffiths, Carla, et al.
Published: (2026)

Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
by: Franceschelli, Giorgio, et al.
Published: (2024)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)

Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
by: Franceschelli, Giorgio, et al.
Published: (2024)

Reward Model Overoptimisation in Iterated RLHF
by: Wolf, Lorenz, et al.
Published: (2025)

Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)

Complexity-Regularized Proximal Policy Optimization
by: Serfilippi, Luca, et al.
Published: (2025)

(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
by: Macmillan-Scott, Olivia, et al.
Published: (2023)

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)

Solution Space Topology Guides CMTS Search
by: Mannucci, Mirco A.
Published: (2025)

A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders
by: Gonzales, Christophe, et al.
Published: (2024)

Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions
by: Xiao, Junlin, et al.
Published: (2025)

Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning
by: Ding, M., et al.
Published: (2025)

Towards Principled Unsupervised Multi-Agent Reinforcement Learning
by: Zamboni, Riccardo, et al.
Published: (2025)