Imagen de Portada

Towards a Unified Framework for Sequential Decision Making

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Núñez-Molina, Carlos, Mesejo, Pablo, Fernández-Olivares, Juan
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence I.2.8
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
por: Núñez-Molina, Carlos, et al.
Publicado: (2023)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
por: Núñez-Molina, Carlos, et al.
Publicado: (2023)

On Using Admissible Bounds for Learning Forward Search Heuristics
por: Núñez-Molina, Carlos, et al.
Publicado: (2023)

Learning to Select Goals in Automated Planning with Deep-Q Learning
por: Núñez-Molina, Carlos, et al.
Publicado: (2024)

Reinforced Language Models for Sequential Decision Making
por: Dilkes, Jim, et al.
Publicado: (2025)

From Next Token Prediction to (STRIPS) World Models
por: Núñez-Molina, Carlos, et al.
Publicado: (2025)

Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
por: Narro, David Fernández, et al.
Publicado: (2025)

Petri Net Relaxation for Infeasibility Explanation and Sequential Task Planning
por: Le, Nguyen Cong Nhat, et al.
Publicado: (2026)

GRIP: A Unified Framework for Grid-Based Relay and Co-Occurrence-Aware Planning in Dynamic Environments
por: Alanazi, Ahmed, et al.
Publicado: (2025)

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)
por: Molina, Daniel, et al.
Publicado: (2020)

Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning
por: Zhao, Yang, et al.
Publicado: (2024)

Toward Constraint Compliant Goal Formulation and Planning
por: Jones, Steven J., et al.
Publicado: (2024)

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
por: Li, Xu, et al.
Publicado: (2026)

Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
por: Riscos, Pablo de los, et al.
Publicado: (2024)

HTN Plan Repair Algorithms Compared: Strengths and Weaknesses of Different Methods
por: Zaidins, Paul, et al.
Publicado: (2025)

On inferring cumulative constraints
por: Sidorov, Konstantin
Publicado: (2026)

Calculating Ultra-Strong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker Morris
por: Gévay, Gábor E., et al.
Publicado: (2014)

Project Patti: Why can You Solve Diabolical Puzzles on one Sudoku Website but not Easy Puzzles on another Sudoku Website?
por: Eisenkolb-Vaithyanathan, Arman
Publicado: (2025)

Optimization of Activity Batching Policies in Business Processes
por: López-Pintado, Orlenys, et al.
Publicado: (2025)

Requirements for Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope
por: Wray, Robert E., et al.
Publicado: (2025)

VIGIL: A Reflective Runtime for Self-Healing Agents
por: Cruz, Christopher
Publicado: (2025)

Relevance Score: A Landmark-Like Heuristic for Planning
por: Kim, Oliver, et al.
Publicado: (2024)

How To Discover Short, Shorter, and the Shortest Proofs of Unsatisfiability: A Branch-and-Bound Approach for Resolution Proof Length Minimization
por: Sidorov, Konstantin, et al.
Publicado: (2024)

Integrating Explanations in Learning LTL Specifications from Demonstrations
por: Gupta, Ashutosh, et al.
Publicado: (2024)

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
por: Molina, Daniel, et al.
Publicado: (2025)

Partially Observable Reference Policy Programming: Solving POMDPs Sans Numerical Optimisation
por: Kim, Edward, et al.
Publicado: (2025)

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
por: Aichmüller, Michael, et al.
Publicado: (2024)

LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
por: George, Robert Joseph, et al.
Publicado: (2025)

EduQate: Generating Adaptive Curricula through RMABs in Education Settings
por: Tio, Sidney, et al.
Publicado: (2024)

A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
por: Wang, Yuxuan, et al.
Publicado: (2025)

Reducing Human-Robot Goal State Divergence with Environment Design
por: Sikes, Kelsey, et al.
Publicado: (2024)

ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
por: Taveekitworachai, Pittawat, et al.
Publicado: (2024)

Constrained Auto-Bidding via Generative Response Modeling
por: Yang, Eunseok, et al.
Publicado: (2026)

Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications
por: Di Rubbo, Alessio, et al.
Publicado: (2026)

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

Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning
por: Huang, Haidong, et al.
Publicado: (2025)

Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
por: Marwitz, Florian Andreas, et al.
Publicado: (2025)

Planning with affordances: Integrating learned affordance models and symbolic planning
por: Mangannavar, Rajesh
Publicado: (2025)

Foundational Requirements for Artificial General Intelligence: A Falsifiable Framework Based on Signal Prediction
por: Šprogar, Matej
Publicado: (2025)

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
por: Tanneberg, Daniel, et al.
Publicado: (2024)