Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Tsakonas, Constantinos, Chatzilygeroudis, Konstantinos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
by: Mitsides, Konstantinos, et al.
Published: (2025)
by: Mitsides, Konstantinos, et al.
Published: (2025)
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
by: Faldor, Maxence, et al.
Published: (2023)
by: Faldor, Maxence, et al.
Published: (2023)
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
by: Flageat, Manon, et al.
Published: (2023)
by: Flageat, Manon, et al.
Published: (2023)
Few-shot Quality-Diversity Optimization
by: Salehi, Achkan, et al.
Published: (2021)
by: Salehi, Achkan, et al.
Published: (2021)
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)
by: Hedayatian, Saeed, et al.
Published: (2025)
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
by: Coiffard, Lisa, et al.
Published: (2025)
by: Coiffard, Lisa, et al.
Published: (2025)
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
by: Bossens, David M., et al.
Published: (2021)
by: Bossens, David M., et al.
Published: (2021)
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
by: Wang, Ren-Jian, et al.
Published: (2025)
by: Wang, Ren-Jian, et al.
Published: (2025)
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)
by: Zhao, Zhikai, et al.
Published: (2025)
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
by: Delavari, Elahe, et al.
Published: (2025)
by: Delavari, Elahe, et al.
Published: (2025)
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)
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)
by: Ada, Suzan Ece, et al.
Published: (2023)
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
by: Bano, Iqra, et al.
Published: (2024)
by: Bano, Iqra, et al.
Published: (2024)
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)
by: Bano, Iqra, et al.
Published: (2024)
Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)
by: Fernandez-Fernandez, Raul, 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)
by: Bianco, Francesca, et al.
Published: (2024)
SNN-Based Online Learning of Concepts and Action Laws in an Open World
by: Grimaud, Christel, et al.
Published: (2024)
by: Grimaud, Christel, et al.
Published: (2024)
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control
by: Delavari, Elahe, et al.
Published: (2024)
by: Delavari, Elahe, et al.
Published: (2024)
AI Olympics challenge with Evolutionary Soft Actor Critic
by: Calì, Marco, et al.
Published: (2024)
by: Calì, Marco, et al.
Published: (2024)
Neural Policy Style Transfer
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)
From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
by: Abouras, Mohamed, et al.
Published: (2026)
by: Abouras, Mohamed, et al.
Published: (2026)
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
by: Liu, Xingyu, et al.
Published: (2024)
by: Liu, Xingyu, et al.
Published: (2024)
Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
by: Sepúlveda, Carlos S., et al.
Published: (2026)
by: Sepúlveda, Carlos S., et al.
Published: (2026)
Distributional Value Estimation Without Target Networks for Robust Quality-Diversity
by: Koohy, Behrad, et al.
Published: (2026)
by: Koohy, Behrad, et al.
Published: (2026)
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
Quality-Diversity Optimization as Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2026)
by: Lin, Xi, et al.
Published: (2026)
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
by: Janmohamed, Hannah, et al.
Published: (2025)
by: Janmohamed, Hannah, et al.
Published: (2025)
Multi-Objective Quality-Diversity for Crystal Structure Prediction
by: Janmohamed, Hannah, et al.
Published: (2024)
by: Janmohamed, Hannah, et al.
Published: (2024)
Training Green AI Models Using Elite Samples
by: Alswaitti, Mohammed, et al.
Published: (2024)
by: Alswaitti, Mohammed, et al.
Published: (2024)
Large Language Models as In-context AI Generators for Quality-Diversity
by: Lim, Bryan, et al.
Published: (2024)
by: Lim, Bryan, et al.
Published: (2024)
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites
by: Mertan, Alican, et al.
Published: (2025)
by: Mertan, Alican, et al.
Published: (2025)
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
by: Soures, Nicholas, et al.
Published: (2024)
by: Soures, Nicholas, et al.
Published: (2024)
SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
by: Mih, Atah Nuh, et al.
Published: (2026)
by: Mih, Atah Nuh, et al.
Published: (2026)
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024)
by: Wang, Limei, et al.
Published: (2024)
Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines
by: Cui, Elvis Han, et al.
Published: (2023)
by: Cui, Elvis Han, et al.
Published: (2023)
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation
by: Azizi, Seyedarmin, et al.
Published: (2023)
by: Azizi, Seyedarmin, et al.
Published: (2023)
Invariant Representations with Stochastically Quantized Neural Networks
by: Cerrato, Mattia, et al.
Published: (2022)
by: Cerrato, Mattia, et al.
Published: (2022)
Similar Items
-
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
by: Mitsides, Konstantinos, et al.
Published: (2025) -
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
by: Faldor, Maxence, et al.
Published: (2023) -
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
by: Flageat, Manon, et al.
Published: (2023) -
Few-shot Quality-Diversity Optimization
by: Salehi, Achkan, et al.
Published: (2021) -
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)