Imagen de Portada

Complex System Exploration with Interactive Human Guidance

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Morel, Bastien, Moulin-Frier, Clément, Barla, Pascal
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evolving Reservoirs for Meta Reinforcement Learning
por: Léger, Corentin, et al.
Publicado: (2023)

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
por: Hamon, Gautier, et al.
Publicado: (2024)

Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning
por: Bornemann, Richard, et al.
Publicado: (2023)

Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
por: Moulin, Antoine, et al.
Publicado: (2025)

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution
por: Barla, Adam, et al.
Publicado: (2026)

Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments
por: Boulet, Timothé, et al.
Publicado: (2025)

Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
por: Dagenais, Kyanna, et al.
Publicado: (2025)

Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning
por: Muyama, Lillian, et al.
Publicado: (2024)

The Batch Complexity of Bandit Pure Exploration
por: Tuynman, Adrienne, et al.
Publicado: (2025)

Sparse Training of Discrete Diffusion Models for Graph Generation
por: Qin, Yiming, et al.
Publicado: (2023)

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
por: Khajehabdollahi, Sina, et al.
Publicado: (2025)

Generative Modelling of Structurally Constrained Graphs
por: Madeira, Manuel, et al.
Publicado: (2024)

Diffusion Explorer: Interactive Exploration of Diffusion Models
por: Helbling, Alec, et al.
Publicado: (2025)

Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs
por: Moulin, Antoine, et al.
Publicado: (2025)

Neurosymbolic Imitation Learning with Human Guidance: A Privileged Information Approach
por: Prabhakar, Nikhilesh, et al.
Publicado: (2026)

Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
por: Malomgré, Elias, et al.
Publicado: (2025)

Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity
por: Miller, Jack, et al.
Publicado: (2023)

Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems
por: Overman, William, et al.
Publicado: (2026)

Audio2Rig: Artist-oriented deep learning tool for facial animation
por: Arcelin, Bastien, et al.
Publicado: (2024)

Emergence of agriculture in an artificial society of reinforcement learning agents
por: Hamon, Gautier, et al.
Publicado: (2026)

Emergent kin selection of altruistic feeding via non-episodic neuroevolution
por: Taylor-Davies, Max, et al.
Publicado: (2024)

Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
por: Wang, Zijian, et al.
Publicado: (2024)

MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
por: Kamao, Mina, et al.
Publicado: (2025)

On the Statistical Complexity of Estimation and Testing under Privacy Constraints
por: Lalanne, Clément, et al.
Publicado: (2022)

Interactive Exploration of Vivid Material Iridescence using Bragg Mirrors
por: G. Fourneau, et al.
Publicado: (2024)

rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models
por: de Franca, Fabricio Olivetti, et al.
Publicado: (2025)

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
por: Erskine, Jonathan, et al.
Publicado: (2024)

When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
por: Moulin, Antoine, et al.
Publicado: (2025)

Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
por: Dubail, Bastien, et al.
Publicado: (2025)

The role of class encoding in neural collapse
por: Massion, Bastien, et al.
Publicado: (2026)

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
por: Zhang, Zhen-Yu, et al.
Publicado: (2026)

More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration
por: Yuan, Xiaoyang, et al.
Publicado: (2025)

Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
por: Wan, Zhengyan, et al.
Publicado: (2025)

Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
por: Zhang, Zhihao, et al.
Publicado: (2025)

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
por: Zou, Henry Peng, et al.
Publicado: (2025)

NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
por: Tang, Sizhe, et al.
Publicado: (2026)

Black-box optimization of noisy functions with unknown smoothness
por: Grill, Jean-Bastien, et al.
Publicado: (2026)

Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
por: Grill, Jean-Bastien, et al.
Publicado: (2026)

On the Guidance of Flow Matching
por: Feng, Ruiqi, et al.
Publicado: (2025)

CogGuide: Human-Like Guidance for Zero-Shot Omni-Modal Reasoning
por: Shou, Zhou-Peng, et al.
Publicado: (2025)