AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Jain, Nilesh, Yadav, Rohit, Kotian, Sagar, AI, Claude |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
par: Liu, Jiaqi, et autres
Publié: (2026)
par: Liu, Jiaqi, et autres
Publié: (2026)
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
par: Fu, Yonggan, et autres
Publié: (2020)
par: Fu, Yonggan, et autres
Publié: (2020)
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
par: Khadka, Barsat
Publié: (2026)
par: Khadka, Barsat
Publié: (2026)
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
par: Muñoz, J. Pablo, et autres
Publié: (2025)
par: Muñoz, J. Pablo, et autres
Publié: (2025)
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
par: Bai, Hao, et autres
Publié: (2024)
par: Bai, Hao, et autres
Publié: (2024)
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
par: Tie, Guiyao, et autres
Publié: (2026)
par: Tie, Guiyao, et autres
Publié: (2026)
Survival Reinforcement Learning: Toward Scalable Self-Supervised RL
par: Nguimatsia-Tiofack, Franki, et autres
Publié: (2026)
par: Nguimatsia-Tiofack, Franki, et autres
Publié: (2026)
AutoGrid AI: Deep Reinforcement Learning Framework for Autonomous Microgrid Management
par: Guo, Kenny, et autres
Publié: (2025)
par: Guo, Kenny, et autres
Publié: (2025)
Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators
par: Wang, Chengcheng, et autres
Publié: (2026)
par: Wang, Chengcheng, et autres
Publié: (2026)
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
par: Muñoz, J. Pablo, et autres
Publié: (2024)
par: Muñoz, J. Pablo, et autres
Publié: (2024)
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
par: Xia, Peng, et autres
Publié: (2026)
par: Xia, Peng, et autres
Publié: (2026)
RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning
par: Arzhantsev, Aleksei, et autres
Publié: (2025)
par: Arzhantsev, Aleksei, et autres
Publié: (2025)
Scalable Reinforcement Learning-based Neural Architecture Search
par: Cassimon, Amber, et autres
Publié: (2024)
par: Cassimon, Amber, et autres
Publié: (2024)
AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning
par: Anugula, Praveen, et autres
Publié: (2025)
par: Anugula, Praveen, et autres
Publié: (2025)
MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
par: Xu, Yifan, et autres
Publié: (2025)
par: Xu, Yifan, et autres
Publié: (2025)
StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
par: Yermekov, A., et autres
Publié: (2026)
par: Yermekov, A., et autres
Publié: (2026)
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
par: Luo, Haohao, et autres
Publié: (2026)
par: Luo, Haohao, et autres
Publié: (2026)
Autonomous Discovery of the Ising Model's Critical Parameters with Reinforcement Learning
par: Man, Hai, et autres
Publié: (2026)
par: Man, Hai, et autres
Publié: (2026)
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
par: Kim, Jaekyeom, et autres
Publié: (2024)
par: Kim, Jaekyeom, et autres
Publié: (2024)
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
par: Mo, Shibing, et autres
Publié: (2024)
par: Mo, Shibing, et autres
Publié: (2024)
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
par: Lee, Dongsu, et autres
Publié: (2024)
par: Lee, Dongsu, et autres
Publié: (2024)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
par: Bokade, Rohit, et autres
Publié: (2024)
par: Bokade, Rohit, et autres
Publié: (2024)
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
par: Liu, Yi-Ling, et autres
Publié: (2026)
par: Liu, Yi-Ling, et autres
Publié: (2026)
GEAR: Genetic AutoResearch for Agentic Code Evolution
par: Jeddi, Ahmadreza, et autres
Publié: (2026)
par: Jeddi, Ahmadreza, et autres
Publié: (2026)
PokeRL: Reinforcement Learning for Pokemon Red
par: Mudireddy, Dheeraj, et autres
Publié: (2026)
par: Mudireddy, Dheeraj, et autres
Publié: (2026)
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
par: Li, Dong, et autres
Publié: (2026)
par: Li, Dong, et autres
Publié: (2026)
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
par: Fayyazi, Arya, et autres
Publié: (2025)
par: Fayyazi, Arya, et autres
Publié: (2025)
A Self-explaining Neural Architecture for Generalizable Concept Learning
par: Sinha, Sanchit, et autres
Publié: (2024)
par: Sinha, Sanchit, et autres
Publié: (2024)
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies
par: Jain, Maeghal, et autres
Publié: (2024)
par: Jain, Maeghal, et autres
Publié: (2024)
Agile Reinforcement Learning through Separable Neural Architecture
par: Mostakim, Rajib, et autres
Publié: (2026)
par: Mostakim, Rajib, et autres
Publié: (2026)
RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
par: Bhatia, Abhinav, et autres
Publié: (2023)
par: Bhatia, Abhinav, et autres
Publié: (2023)
RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
par: Lee, Cheol-Hui, et autres
Publié: (2026)
par: Lee, Cheol-Hui, et autres
Publié: (2026)
INRet: A General Framework for Accurate Retrieval of INRs for Shapes
par: Guan, Yushi, et autres
Publié: (2025)
par: Guan, Yushi, et autres
Publié: (2025)
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
par: Rowe, Luke, et autres
Publié: (2024)
par: Rowe, Luke, et autres
Publié: (2024)
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
par: Lesy, Bavo, et autres
Publié: (2024)
par: Lesy, Bavo, et autres
Publié: (2024)
Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery
par: Houbre, Quentin, et autres
Publié: (2024)
par: Houbre, Quentin, et autres
Publié: (2024)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
par: Zheng, Zhi, et autres
Publié: (2024)
par: Zheng, Zhi, et autres
Publié: (2024)
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
par: Aryal, Manish, et autres
Publié: (2026)
par: Aryal, Manish, et autres
Publié: (2026)
Teaching RL Agents to Act Better: VLM as Action Advisor for Online Reinforcement Learning
par: Wu, Xiefeng, et autres
Publié: (2025)
par: Wu, Xiefeng, et autres
Publié: (2025)
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
par: Adde, Nihal Acharya, et autres
Publié: (2025)
par: Adde, Nihal Acharya, et autres
Publié: (2025)
Documents similaires
-
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
par: Liu, Jiaqi, et autres
Publié: (2026) -
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
par: Fu, Yonggan, et autres
Publié: (2020) -
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
par: Khadka, Barsat
Publié: (2026) -
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
par: Muñoz, J. Pablo, et autres
Publié: (2025) -
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
par: Bai, Hao, et autres
Publié: (2024)