Cover Image

Evolving Neural Controllers for Xpilot-AI Racing Using Neuroevolution of Augmenting Topologies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	O'Connor, Jim, Lorentzen, Nicholas, Parker, Gary B., Gezgin, Derin
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong
by: O'Connor, Jim, et al.
Published: (2025)

SCOPE for Hexapod Gait Generation
by: O'Connor, Jim, et al.
Published: (2025)

Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
by: O'Connor, Jim, et al.
Published: (2025)

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
by: Guijt, Arthur, et al.
Published: (2024)

Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
by: Garbus, Jack, et al.
Published: (2025)

Evaluating a Novel Neuroevolution and Neural Architecture Search System
by: Winter, Benjamin David, et al.
Published: (2025)

Many-Objective Neuroevolution for Testing Games
by: Feldmeier, Patric, et al.
Published: (2025)

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
by: Stapleton, Fergal, et al.
Published: (2024)

Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
by: Winter, Benjamin David, et al.
Published: (2025)

Learning to Evolve for Optimization via Stability-Inducing Neural Unrolling
by: Gao, Jiaxin, et al.
Published: (2025)

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024)

Towards Physical Plausibility in Neuroevolution Systems
by: Cortês, Gabriel, et al.
Published: (2024)

[RETRACTED]Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
by: Bertschinger, Amanda, et al.
Published: (2025)

NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming
by: Stapleton, Fergal, et al.
Published: (2024)

TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
by: Wang, Lishuang, et al.
Published: (2025)

Evolving LLM-Derived Control Policies for Residential EV Charging and Vehicle-to-Grid Energy Optimization
by: Purnananda, Vishesh, et al.
Published: (2026)

Evolving Loss Functions for Specific Image Augmentation Techniques
by: Morgan, Brandon, et al.
Published: (2024)

Discovering Effective Policies for Land-Use Planning with Neuroevolution
by: Young, Daniel, et al.
Published: (2023)

PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks
by: Merry, Michael, et al.
Published: (2024)

Introducing Echo Networks for Computational Neuroevolution
by: Kroos, Christian, et al.
Published: (2026)

Evolving Assembly Code in an Adversarial Environment
by: Maliukov, Irina, et al.
Published: (2024)

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search
by: ElSaid, AbdElRahman, et al.
Published: (2023)

Neutrally Evolving Interlocking Complexity in the Quandary Den
by: Walsh, Andrew
Published: (2026)

Preserving Information: How does Topological Data Analysis improve Neural Network performance?
by: Stolarek, A., et al.
Published: (2024)

Neuroevolution of Self-Attention Over Proto-Objects
by: Pinto, Rafael C., et al.
Published: (2025)

EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)

Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
by: Lv, Zeqiong, et al.
Published: (2022)

Evolving Financial Trading Strategies with Vectorial Genetic Programming
by: Menoita, Rui, et al.
Published: (2025)

Evolving Collective Behavior in Self-Organizing Particle Systems
by: Parkar, Devendra, et al.
Published: (2024)

NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
by: Farinati, Davide, et al.
Published: (2026)

Sustainable AI: Mathematical Foundations of Spiking Neural Networks
by: Fono, Adalbert, et al.
Published: (2025)

Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
by: Feldmeier, Patric, et al.
Published: (2024)

ELENA: Epigenetic Learning through Evolved Neural Adaptation
by: Kriuk, Boris, et al.
Published: (2025)

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
by: Sim, Kevin, et al.
Published: (2025)

The More the Merrier: On Evolving Five-valued Spectra Boolean Functions
by: Carlet, Claude, et al.
Published: (2024)

Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots
by: Mertan, Alican, et al.
Published: (2024)

Flow-Lenia.png: Evolving Multi-Scale Complexity by Means of Compression
by: Adachi, Tadashi, et al.
Published: (2024)

Evolving generalist controllers to handle a wide range of morphological variations
by: Triebold, Corinna, et al.
Published: (2023)

LLM-POET: Evolving Complex Environments using Large Language Models
by: Aki, Fuma, et al.
Published: (2024)

Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
by: Ahouei, Saba Sadeghi, et al.
Published: (2024)