Copertina

Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	de Bruin, K. Ege, Glette, Kyrre, Ellefsen, Kai Olav
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Integrating Sample Inheritance into Bayesian Optimization for Evolutionary Robotics
di: de Bruin, K. Ege, et al.
Pubblicazione: (2026)

More complex environments may be required to discover benefits of lifetime learning in evolving robots
di: de Bruin, Ege, et al.
Pubblicazione: (2024)

Social Learning Strategies for Evolved Virtual Soft Robots
di: de Bruin, K. Ege, et al.
Pubblicazione: (2026)

Generational Replacement and Learning for High-Performing and Diverse Populations in Evolvable Robots
di: de Bruin, K. Ege, et al.
Pubblicazione: (2026)

Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
di: Luo, Jie, et al.
Pubblicazione: (2024)

Design and Fabrication of Soft Locomotion Robots based on Spatial Compliant Mechanisms
di: Milojevic, Andrija, et al.
Pubblicazione: (2024)

How Do VLAs Effectively Inherit from VLMs?
di: Zhang, Chuheng, et al.
Pubblicazione: (2025)

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
di: Høeg, Sigmund H., et al.
Pubblicazione: (2024)

Online Dynamic Goal Recognition in Gym Environments
di: Matan, Shamir, et al.
Pubblicazione: (2025)

ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments
di: Xin, Jinghao, et al.
Pubblicazione: (2025)

Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
di: Wiman, Emil, et al.
Pubblicazione: (2023)

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
di: Castri, Luca, et al.
Pubblicazione: (2025)

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
di: De Maeyer, Jonas, et al.
Pubblicazione: (2025)

An Empirical Study on the Computation Budget of Co-Optimization of Robot Design and Control in Simulation
di: Arza, Etor, et al.
Pubblicazione: (2024)

Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
di: Zhang, Ruipeng, et al.
Pubblicazione: (2022)

CLEA: Closed-Loop Embodied Agent for Enhancing Task Execution in Dynamic Environments
di: Lei, Mingcong, et al.
Pubblicazione: (2025)

A Physics-Informed Neural Network Approach for UAV Path Planning in Dynamic Environments
di: Zhang, Shuning
Pubblicazione: (2025)

STAGE: Scalable and Traversability-Aware Graph based Exploration Planner for Dynamically Varying Environments
di: Patel, Akash, et al.
Pubblicazione: (2024)

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
di: Rajvanshi, Abhinav, et al.
Pubblicazione: (2023)

DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
di: Deolasee, Srujan, et al.
Pubblicazione: (2024)

Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
di: Suriani, Vincenzo, et al.
Pubblicazione: (2025)

VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
di: Liu, Ning, et al.
Pubblicazione: (2026)

Online Efficient Safety-Critical Control for Mobile Robots in Unknown Dynamic Multi-Obstacle Environments
di: Zhang, Yu, et al.
Pubblicazione: (2024)

MarineFormer: A Spatio-Temporal Attention Model for USV Navigation in Dynamic Marine Environments
di: Kazemi, Ehsan, et al.
Pubblicazione: (2024)

Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments
di: Hou, Jiawei, et al.
Pubblicazione: (2025)

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment
di: Chowdhury, Jayabrata, et al.
Pubblicazione: (2024)

How VLAs (Really) Work In Open-World Environments
di: Rasouli, Amir, et al.
Pubblicazione: (2026)

PI-WAN: A Physics-Informed Wind-Adaptive Network for Quadrotor Dynamics Prediction in Unknown Environments
di: Wang, Mengyun, et al.
Pubblicazione: (2025)

Behaviour diversity in a walking and climbing centipede-like virtual creature
di: Norstein, Emma Stensby, et al.
Pubblicazione: (2024)

LOST-3DSG: Lightweight Open-Vocabulary 3D Scene Graphs with Semantic Tracking in Dynamic Environments
di: Ferraina, Sara Micol, et al.
Pubblicazione: (2026)

How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
di: Wen, Congcong, et al.
Pubblicazione: (2024)

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments
di: Liu, Hengrui, et al.
Pubblicazione: (2025)

Learning Soft Robotic Dynamics with Active Exploration
di: Zheng, Hehui, et al.
Pubblicazione: (2025)

Optimal Driver Warning Generation in Dynamic Driving Environment
di: Li, Chenran, et al.
Pubblicazione: (2024)

Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets
di: Ghotavadekar, Atharva, et al.
Pubblicazione: (2025)

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
di: He, Xiaoyi, et al.
Pubblicazione: (2025)

PPO-based Dynamic Control of Uncertain Floating Platforms in the Zero-G Environment
di: Ramezani, Mahya, et al.
Pubblicazione: (2024)

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
di: Han, Seungho, et al.
Pubblicazione: (2026)

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
di: Johnsen, Timothy K, et al.
Pubblicazione: (2024)

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
di: Høeg, Sigmund Hennum, et al.
Pubblicazione: (2025)