Cover Image

A Reinforcement Learning-Based Model for Mapping and Goal-Directed Navigation Using Multiscale Place Fields

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dukenbaev, Bekarys, Gerstenslager, Andrew, Johnson, Alexander, Minai, Ali A.
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Accuracy of Robot Localization Using 3-D LiDAR in a Hippocampus-Inspired Model
by: Gerstenslager, Andrew, et al.
Published: (2025)

Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning
by: Snyder, Shay, et al.
Published: (2025)

Exploring and Learning Structure: Active Inference Approach in Navigational Agents
by: de Tinguy, Daria, et al.
Published: (2024)

Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation
by: Dietrich, Robin, et al.
Published: (2025)

Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
by: Özdemir, Ozan, et al.
Published: (2022)

Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking
by: Souissi, Ala, et al.
Published: (2024)

NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning
by: Meliani, Hibatallah, et al.
Published: (2026)

Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
by: Duong, Thi Thuy Ngan, et al.
Published: (2025)

Emergent Heterogeneous Swarm Control Through Hebbian Learning
by: van Diggelen, Fuda, et al.
Published: (2025)

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
by: Faldor, Maxence, et al.
Published: (2023)

Generating and Evolving Reward Functions for Highway Driving with Large Language Models
by: Han, Xu, et al.
Published: (2024)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

Heterogeneous computing platform for real-time robotics
by: Fil, Jakub, et al.
Published: (2026)

Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
by: Sepúlveda, Carlos S., et al.
Published: (2026)

Decentralised self-organisation of pivoting cube ensembles using geometric deep learning
by: Dobreva, Nadezhda, et al.
Published: (2025)

Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
by: Bossens, David M., et al.
Published: (2021)

Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments
by: Astar, Ahmet, et al.
Published: (2024)

The Irrational Machine: Neurosis and the Limits of Algorithmic Safety
by: Howard, Daniel
Published: (2025)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

Body Discovery of Embodied AI
by: Sun, Zhe, et al.
Published: (2025)

No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots
by: Mertan, Alican, et al.
Published: (2024)

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
by: Acharya, Kamal, et al.
Published: (2025)

On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
by: Bossens, David M., et al.
Published: (2021)

Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
by: Bossens, David M., et al.
Published: (2020)

SNN-Based Online Learning of Concepts and Action Laws in an Open World
by: Grimaud, Christel, et al.
Published: (2024)

Wildfire Autonomous Response and Prediction Using Cellular Automata (WARP-CA)
by: Ramadan, Abdelrahman
Published: (2024)

Motion Planning on Visual Manifolds
by: Ramaiah, M Seetha
Published: (2022)

A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory
by: Iyer, Laxmi R., et al.
Published: (2025)

Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
by: Delavari, Elahe, et al.
Published: (2025)

A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
by: Bano, Iqra, et al.
Published: (2024)

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control
by: Le, Nam H., et al.
Published: (2025)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
by: Bano, Iqra, et al.
Published: (2024)

Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
by: Bianco, Francesca, et al.
Published: (2024)

Artificial Intelligence Based Navigation in Quasi Structured Environment
by: Kumar, Hariram Sampath, et al.
Published: (2024)

InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model
by: Khanzada, Feeza Khan, et al.
Published: (2025)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

Adaptive Sensor Placement Inspired by Bee Foraging: Towards Efficient Environment Monitoring
by: Sathi, Sai Krishna Reddy
Published: (2024)

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
by: Cheng, Mingfei, et al.
Published: (2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)