CosmoCore-Evo: Evolutionary Dream-Replay Reinforcement Learning for Adaptive Code Generation
Fuente:
arXiv
Guardado en:
| Autor principal: | Ravindran, Santhosh Kumar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
CosmoCore Affective Dream-Replay Reinforcement Learning for Code Generation
por: Ravindran, Santhosh Kumar
Publicado: (2025)
por: Ravindran, Santhosh Kumar
Publicado: (2025)
Open Source Evolutionary Computation with Chips-n-Salsa
por: Cicirello, Vincent A.
Publicado: (2024)
por: Cicirello, Vincent A.
Publicado: (2024)
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
por: Poyatos, Javier, et al.
Publicado: (2022)
por: Poyatos, Javier, et al.
Publicado: (2022)
Biased Random-Key Genetic Algorithms: A Review
por: Londe, Mariana A., et al.
Publicado: (2023)
por: Londe, Mariana A., et al.
Publicado: (2023)
Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems
por: Khaled, Qusai, et al.
Publicado: (2026)
por: Khaled, Qusai, et al.
Publicado: (2026)
Phase-Coded Memory and Morphological Resonance: A Next-Generation Retrieval-Augmented Generator Architecture
por: Saklakov, Denis V.
Publicado: (2025)
por: Saklakov, Denis V.
Publicado: (2025)
Interactive Multi-Objective Evolutionary Optimization of Software Architectures
por: Ramírez, Aurora, et al.
Publicado: (2024)
por: Ramírez, Aurora, et al.
Publicado: (2024)
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
por: Arostegi, Maria, et al.
Publicado: (2025)
por: Arostegi, Maria, et al.
Publicado: (2025)
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
Organismal Agency and Rapid Adaptation: The Phenopoiesis Algorithm for Phenotype-First Evolution
por: Le, Nam H.
Publicado: (2026)
por: Le, Nam H.
Publicado: (2026)
Rapid training of Hamiltonian graph networks using random features
por: Rahma, Atamert, et al.
Publicado: (2025)
por: Rahma, Atamert, et al.
Publicado: (2025)
Game-Theoretic Gradient Control for Robust Neural Network Training
por: Zaitseva, Maria, et al.
Publicado: (2025)
por: Zaitseva, Maria, et al.
Publicado: (2025)
Solar Irradiation Forecasting using Genetic Algorithms
por: Gunasekaran, V., et al.
Publicado: (2021)
por: Gunasekaran, V., et al.
Publicado: (2021)
A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
por: Yang, Xin-She
Publicado: (2024)
por: Yang, Xin-She
Publicado: (2024)
Composition of Relational Features with an Application to Explaining Black-Box Predictors
por: Srinivasan, Ashwin, et al.
Publicado: (2022)
por: Srinivasan, Ashwin, et al.
Publicado: (2022)
A biased random-key genetic algorithm with variable mutants to solve a vehicle routing problem
por: Festa, Paola, et al.
Publicado: (2024)
por: Festa, Paola, et al.
Publicado: (2024)
React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend
por: Potanin, Alex
Publicado: (2026)
por: Potanin, Alex
Publicado: (2026)
Dynamical Alignment: A Principle for Adaptive Neural Computation
por: Chen, Xia
Publicado: (2025)
por: Chen, Xia
Publicado: (2025)
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
por: Arostegi, Maria, et al.
Publicado: (2024)
por: Arostegi, Maria, et al.
Publicado: (2024)
Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness
por: Gaikwad, Madhava
Publicado: (2026)
por: Gaikwad, Madhava
Publicado: (2026)
Implementing Online Reinforcement Learning with Clustering Neural Networks
por: Smith, James E.
Publicado: (2024)
por: Smith, James E.
Publicado: (2024)
Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
por: Gulati, Aryan, et al.
Publicado: (2025)
por: Gulati, Aryan, et al.
Publicado: (2025)
Alternate Loss Functions for Classification and Robust Regression Can Improve the Accuracy of Artificial Neural Networks
por: Noel, Mathew Mithra, et al.
Publicado: (2023)
por: Noel, Mathew Mithra, et al.
Publicado: (2023)
FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
por: Islam, Fahmida, et al.
Publicado: (2025)
por: Islam, Fahmida, et al.
Publicado: (2025)
Task-Synchronized Recurrent Neural Networks
por: Lukoševičius, Mantas, et al.
Publicado: (2022)
por: Lukoševičius, Mantas, et al.
Publicado: (2022)
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
por: Bruneton, J. -P.
Publicado: (2025)
por: Bruneton, J. -P.
Publicado: (2025)
Pre-train to Gain: Robust Learning Without Clean Labels
por: Szczecina, David, et al.
Publicado: (2025)
por: Szczecina, David, et al.
Publicado: (2025)
Combining AI Control Systems and Human Decision Support via Robustness and Criticality
por: Woods, Walt, et al.
Publicado: (2024)
por: Woods, Walt, et al.
Publicado: (2024)
Full Domain Analysis in Fluid Dynamics
por: Hagg, Alexander, et al.
Publicado: (2025)
por: Hagg, Alexander, et al.
Publicado: (2025)
Evo* 2025 -- Late-Breaking Abstracts Volume
por: Mora, A. M., et al.
Publicado: (2025)
por: Mora, A. M., et al.
Publicado: (2025)
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
por: Gupta, Chakshu, et al.
Publicado: (2026)
por: Gupta, Chakshu, et al.
Publicado: (2026)
Weak Simplicial Bisimilarity and Minimisation for Polyhedral Model Checking
por: Bezhanishvili, Nick, et al.
Publicado: (2024)
por: Bezhanishvili, Nick, et al.
Publicado: (2024)
Practical Exploration of Polyhedral Model Checking
por: Andriaccio, Yuri, et al.
Publicado: (2025)
por: Andriaccio, Yuri, et al.
Publicado: (2025)
Adaptive Reinforcement Learning for State Avoidance in Discrete Event Systems
por: Dony, Md Nur-A-Adam
Publicado: (2025)
por: Dony, Md Nur-A-Adam
Publicado: (2025)
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm
por: Doerr, Benjamin, et al.
Publicado: (2025)
por: Doerr, Benjamin, et al.
Publicado: (2025)
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
por: Nowotny, Thomas, et al.
Publicado: (2022)
por: Nowotny, Thomas, et al.
Publicado: (2022)
Pointer Networks Trained Better via Evolutionary Algorithms
por: Zhong, Muyao, et al.
Publicado: (2023)
por: Zhong, Muyao, et al.
Publicado: (2023)
Evolutionary Automata and Deep Evolutionary Computation
por: Eberbach, Eugene
Publicado: (2024)
por: Eberbach, Eugene
Publicado: (2024)
Optimizing Genetic Algorithms Using the Binomial Distribution
por: Cicirello, Vincent A.
Publicado: (2024)
por: Cicirello, Vincent A.
Publicado: (2024)
Information flow in multilayer perceptrons: an in-depth analysis
por: Armano, Giuliano
Publicado: (2025)
por: Armano, Giuliano
Publicado: (2025)
Ejemplares similares
-
CosmoCore Affective Dream-Replay Reinforcement Learning for Code Generation
por: Ravindran, Santhosh Kumar
Publicado: (2025) -
Open Source Evolutionary Computation with Chips-n-Salsa
por: Cicirello, Vincent A.
Publicado: (2024) -
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
por: Poyatos, Javier, et al.
Publicado: (2022) -
Biased Random-Key Genetic Algorithms: A Review
por: Londe, Mariana A., et al.
Publicado: (2023) -
Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems
por: Khaled, Qusai, et al.
Publicado: (2026)