Image de couverture de livre

Emergent Braitenberg-style Behaviours for Navigating the ViZDoom `My Way Home' Labyrinth

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bayer, Caleidgh, Smith, Robert J., Heywood, Malcolm I.
Format:	Preprint
Publié:	2024
Sujets:	Neural and Evolutionary Computing Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding
par: Feng, Jingyi, et autres
Publié: (2021)

Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery
par: van Stein, Niki, et autres
Publié: (2025)

Life, uh, Finds a Way: Hyperadaptability by Behavioral Search
par: Baranski, Alex, et autres
Publié: (2024)

Artificial Intelligence Based Navigation in Quasi Structured Environment
par: Kumar, Hariram Sampath, et autres
Publié: (2024)

A Biomimetic Way for Coral-Reef-Inspired Swarm Intelligence for Carbon-Neutral Wastewater Treatment
par: Messinis, Antonis
Publié: (2025)

EMBER: Autonomous Cognitive Behaviour from Learned Spiking Neural Network Dynamics in a Hybrid LLM Architecture
par: Savage, William
Publié: (2026)

Emergent Heterogeneous Swarm Control Through Hebbian Learning
par: van Diggelen, Fuda, et autres
Publié: (2025)

Embodied World Models Emerge from Navigational Task in Open-Ended Environments
par: Jin, Li, et autres
Publié: (2025)

Exploring and Learning Structure: Active Inference Approach in Navigational Agents
par: de Tinguy, Daria, et autres
Publié: (2024)

NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning
par: Meliani, Hibatallah, et autres
Publié: (2026)

Emergent Collective Reproduction via Evolving Neuronal Flocks
par: Le, Nam H., et autres
Publié: (2024)

R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
par: Tahernezhad-Javazm, Farajollah, et autres
Publié: (2024)

Competition and Attraction Improve Model Fusion
par: Abrantes, João, et autres
Publié: (2025)

Evolution Transformer: In-Context Evolutionary Optimization
par: Lange, Robert Tjarko, et autres
Publié: (2024)

Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
par: Duong, Thi Thuy Ngan, et autres
Publié: (2025)

A Reinforcement Learning-Based Model for Mapping and Goal-Directed Navigation Using Multiscale Place Fields
par: Dukenbaev, Bekarys, et autres
Publié: (2026)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
par: Gautam, Ashish, et autres
Publié: (2025)

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
par: Garmendia, Andoni I., et autres
Publié: (2024)

Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I)
par: Corbacho, Fernando J.
Publié: (2019)

Implementing engrams from a machine learning perspective: the relevance of a latent space
par: de Lucas, J Marco
Publié: (2024)

Ecological Neural Architecture Search
par: Winter, Benjamin David, et autres
Publié: (2025)

$EvoAl^{2048}$
par: Berger, Bernhard J., et autres
Publié: (2024)

One system for learning and remembering episodes and rules
par: Hewson, Joshua T. S., et autres
Publié: (2024)

Reinitializing weights vs units for maintaining plasticity in neural networks
par: Hernandez-Garcia, J. Fernando, et autres
Publié: (2025)

Kozax: Flexible and Scalable Genetic Programming in JAX
par: de Vries, Sigur, et autres
Publié: (2025)

Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
par: Lee, Sungwoo, et autres
Publié: (2023)

A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
par: Osaba, Eneko, et autres
Publié: (2024)

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
par: Ding, Yongqi, et autres
Publié: (2026)

Automating the Search for Artificial Life with Foundation Models
par: Kumar, Akarsh, et autres
Publié: (2024)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
par: Yang, Xu, et autres
Publié: (2025)

Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
par: Winter, Benjamin David, et autres
Publié: (2025)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
par: Raptis, Spyridon, et autres
Publié: (2025)

Fuzzy Logic -- Based Scheduling System for Part-Time Workforce
par: Nguyen, Tri, et autres
Publié: (2025)

Training neural networks without backpropagation using particles
par: Kumar, Deepak
Publié: (2024)

BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
par: Lin, Subin, et autres
Publié: (2025)

Neural Field Turing Machine: A Differentiable Spatial Computer
par: Malhotra, Akash, et autres
Publié: (2025)

Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
par: Huang, Zhixing, et autres
Publié: (2024)

Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
par: O'Connor, Jim, et autres
Publié: (2025)

Learning Characteristics of Reverse Quaternion Neural Network
par: Yamauchi, Shogo, et autres
Publié: (2024)

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
par: Xu, Changqing, et autres
Publié: (2025)