Saved in:
| Main Authors: | Hamidi, Mani, Deacon, Terrence W. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11482 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Three Dogmas of Reinforcement Learning
by: Abel, David, et al.
Published: (2024)
by: Abel, David, et al.
Published: (2024)
Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025)
by: Pourdavood, Parham, et al.
Published: (2025)
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
by: Hamidi, Mani, et al.
Published: (2024)
by: Hamidi, Mani, et al.
Published: (2024)
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes
by: Hamidi, Massinissa, et al.
Published: (2023)
by: Hamidi, Massinissa, et al.
Published: (2023)
Differentiable Evolutionary Reinforcement Learning
by: Cheng, Sitao, et al.
Published: (2025)
by: Cheng, Sitao, et al.
Published: (2025)
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
by: Lee, Jaejin, et al.
Published: (2024)
by: Lee, Jaejin, et al.
Published: (2024)
Enhancing Deep Learning Based Structured Illumination Microscopy Reconstruction with Light Field Awareness
by: Shan, Long-Kun, et al.
Published: (2025)
by: Shan, Long-Kun, et al.
Published: (2025)
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
by: Zhang, Lunjun, et al.
Published: (2026)
by: Zhang, Lunjun, et al.
Published: (2026)
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Evolutionary Reinforcement Learning via Cooperative Coevolution
by: Hu, Chengpeng, et al.
Published: (2024)
by: Hu, Chengpeng, et al.
Published: (2024)
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification
by: Liu, Zicheng, et al.
Published: (2025)
by: Liu, Zicheng, et al.
Published: (2025)
Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
by: Li, Chengwei, et al.
Published: (2026)
by: Li, Chengwei, et al.
Published: (2026)
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
by: Kakooee, Reza, et al.
Published: (2025)
by: Kakooee, Reza, et al.
Published: (2025)
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
by: Pan, Zhenyu, et al.
Published: (2025)
by: Pan, Zhenyu, et al.
Published: (2025)
Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
by: Yuan, Xinbin, et al.
Published: (2025)
by: Yuan, Xinbin, et al.
Published: (2025)
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
by: Lian, Hongqiao, et al.
Published: (2024)
by: Lian, Hongqiao, et al.
Published: (2024)
Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
by: Sejnowski, Terrence J.
Published: (2025)
by: Sejnowski, Terrence J.
Published: (2025)
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
by: Jiang, Mei, et al.
Published: (2025)
by: Jiang, Mei, et al.
Published: (2025)
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
by: Sygkounas, Alkis, et al.
Published: (2026)
by: Sygkounas, Alkis, et al.
Published: (2026)
The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)
by: Li, Lu, et al.
Published: (2025)
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning
by: Shen, Ya, et al.
Published: (2024)
by: Shen, Ya, et al.
Published: (2024)
IAML: Illumination-Aware Mirror Loss for Progressive Learning in Low-Light Image Enhancement Auto-encoders
by: Mohsen, Farida, et al.
Published: (2026)
by: Mohsen, Farida, et al.
Published: (2026)
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
by: Li, Bingdong, et al.
Published: (2025)
by: Li, Bingdong, et al.
Published: (2025)
Over-the-Air Fair Federated Learning via Multi-Objective Optimization
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
Evolutionary Transfer Learning for Dragonchess
by: O'Connor, Jim, et al.
Published: (2026)
by: O'Connor, Jim, et al.
Published: (2026)
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
by: Hu, Chengpeng, et al.
Published: (2025)
by: Hu, Chengpeng, et al.
Published: (2025)
The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection
by: Bibbó, Gabriel, et al.
Published: (2024)
by: Bibbó, Gabriel, et al.
Published: (2024)
Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning
by: Chen, Yenan, et al.
Published: (2024)
by: Chen, Yenan, et al.
Published: (2024)
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
by: Altmann, Philipp, et al.
Published: (2024)
by: Altmann, Philipp, et al.
Published: (2024)
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
by: Song, Yanjie, et al.
Published: (2023)
by: Song, Yanjie, et al.
Published: (2023)
DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
by: Ma, Zeyuan, et al.
Published: (2024)
by: Ma, Zeyuan, et al.
Published: (2024)
Representing Pedagogic Content Knowledge Through Rough Sets
by: Mani, A
Published: (2024)
by: Mani, A
Published: (2024)
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
by: Ouyang, Xiaomin, et al.
Published: (2024)
by: Ouyang, Xiaomin, et al.
Published: (2024)
SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing Optimisation
by: K, Aditya Sreevatsa, et al.
Published: (2025)
by: K, Aditya Sreevatsa, et al.
Published: (2025)
Applying Reinforcement Learning to Optimize Traffic Light Cycles
by: Son, Seungah, et al.
Published: (2024)
by: Son, Seungah, et al.
Published: (2024)
Light-weight probing of unsupervised representations for Reinforcement Learning
by: Zhang, Wancong, et al.
Published: (2022)
by: Zhang, Wancong, et al.
Published: (2022)
Similar Items
-
Three Dogmas of Reinforcement Learning
by: Abel, David, et al.
Published: (2024) -
Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025) -
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
by: Hamidi, Mani, et al.
Published: (2024) -
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes
by: Hamidi, Massinissa, et al.
Published: (2023) -
Differentiable Evolutionary Reinforcement Learning
by: Cheng, Sitao, et al.
Published: (2025)