Cover Image

Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+($λ$,$λ$))-GA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Tai, Le, Phong, Biedenkapp, André, Doerr, Carola, Dang, Nguyen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+($λ$,$λ$))-GA
by: Nguyen, Tai, et al.
Published: (2025)

Multi-parameter Control for the $(1+(λ,λ))$-GA on OneMax via Deep Reinforcement Learning
by: Nguyen, Tai, et al.
Published: (2025)

Contextual Intelligence The Next Leap for Reinforcement Learning
by: Biedenkapp, André
Published: (2026)

Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements
by: Dang, Hiep Vo, et al.
Published: (2024)

New Algorithm Transgenic with Homology to solve the problem of OneMax
by: Christian José Correa Villalón
Published: (2010)

OneMax is not the Easiest Function for Fitness Improvements
by: Kaufmann, Marc, et al.
Published: (2022)

Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
by: Kim, Byeongchan, et al.
Published: (2026)

Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
by: Ndir, Tidiane Camaret, et al.
Published: (2024)

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

$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models
by: Voelcker, Claas A, et al.
Published: (2023)

On the complexity of normalization for the planar $λ$-calculus
by: Das, Anupam, et al.
Published: (2024)

Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
by: Kostovska, Ana, et al.
Published: (2025)

Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Generalized OneMax
by: Adak, Sumit, et al.
Published: (2024)

One-Shot Averaging for Distributed TD($λ$) Under Markov Sampling
by: Tian, Haoxing, et al.
Published: (2024)

Nowhere trivial automorphisms of $P(λ)/[λ]^{<λ}$, for $λ$ inaccessible
by: Kellner, Jakob, et al.
Published: (2024)

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
by: Santoni, Maria Laura, et al.
Published: (2023)

BP(λ): Online Learning via Synthetic Gradients
by: Pemberton, Joseph, et al.
Published: (2024)

On automorphisms of $\mathcal P(λ)/[λ]^{<λ}$
by: Kellner, Jakob, et al.
Published: (2022)

$λ$-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks
by: Pérez-Corral, Cristian, et al.
Published: (2026)

FedGA-Tree: Federated Decision Tree using Genetic Algorithm
by: Nguyen, Anh V, et al.
Published: (2025)

When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection
by: Antipov, Denis, et al.
Published: (2026)

Runtime Analysis of a Compact Genetic Algorithm on a Truly Multi-valued OneMax Function
by: Krejca, Martin S., et al.
Published: (2026)

Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations
by: Nguyen, Minh-Duc, et al.
Published: (2025)

On $λ$-invariants of congruent modular forms in the anticyclotomic, indefinite setting
by: Nguyen, Dac-Nhan-Tam
Published: (2025)

One-shot World Models Using a Transformer Trained on a Synthetic Prior
by: Ferreira, Fabio, et al.
Published: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

The $λ$-PSP at $λ$-coanalytic sets
by: Barrera, Fernando, et al.
Published: (2025)

$(λ,λ)$-eigenfunctions on compact manifolds
by: Munn, Thomas Jack, et al.
Published: (2024)

GRPO-$λ$: Credit Assignment improves LLM Reasoning
by: Parthasarathi, Prasanna, et al.
Published: (2025)

Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
by: Prasanna, Sai, et al.
Published: (2024)

Infinite-Dimensional Operator/Block Kaczmarz Algorithms: Regret Bounds and $λ$-Effectiveness
by: Jeong, Halyun, et al.
Published: (2025)

$λ$-shaped random matrices, $λ$-plane trees, and $λ$-Dyck paths
by: Bisi, Elia, et al.
Published: (2024)

Improved Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Two Generalized OneMax Problems
by: Adak, Sumit, et al.
Published: (2025)

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
by: Benjamins, Carolin, et al.
Published: (2024)

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
by: Dang, Gang, et al.
Published: (2024)

A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
by: Long, Nguyen Chi, et al.
Published: (2025)

Optimizing Kernel Discrepancies via Subset Selection
by: Chen, Deyao, et al.
Published: (2025)

Algorithm Configuration for Structured Pfaffian Settings
by: Balcan, Maria-Florina, et al.
Published: (2024)

Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
by: Phong, Le Hong, et al.
Published: (2024)

Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
by: Nguyen, Van Quang, et al.
Published: (2025)