STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Basavatia, Shreyas, Murugesan, Keerthiram, Ratnakar, Shivam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design
by: Neehal, Nafis, et al.
Published: (2024)
by: Neehal, Nafis, et al.
Published: (2024)
The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models
by: Ratnakar, Shivam, et al.
Published: (2025)
by: Ratnakar, Shivam, et al.
Published: (2025)
EfficientLLM: Efficiency in Large Language Models
by: Yuan, Zhengqing, et al.
Published: (2025)
by: Yuan, Zhengqing, et al.
Published: (2025)
Adversarial Reinforcement Learning for Large Language Model Agent Safety
by: Wang, Zizhao, et al.
Published: (2025)
by: Wang, Zizhao, et al.
Published: (2025)
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
by: Ma, Ying, et al.
Published: (2024)
by: Ma, Ying, et al.
Published: (2024)
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
by: Schröder, Christopher, et al.
Published: (2024)
by: Schröder, Christopher, et al.
Published: (2024)
IndiText Boost: Text Augmentation for Low Resource India Languages
by: Litake, Onkar, et al.
Published: (2024)
by: Litake, Onkar, et al.
Published: (2024)
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)
by: Wang, Yiping, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
by: Pang, Jing-Cheng, et al.
Published: (2024)
by: Pang, Jing-Cheng, et al.
Published: (2024)
OjaKV: Context-Aware Online Low-Rank KV Cache Compression
by: Zhu, Yuxuan, et al.
Published: (2025)
by: Zhu, Yuxuan, et al.
Published: (2025)
DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
by: Karaman, Batuhan K., et al.
Published: (2026)
by: Karaman, Batuhan K., et al.
Published: (2026)
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)
by: Munkhbat, Tergel, et al.
Published: (2025)
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
by: Sarkar, Bidipta, et al.
Published: (2025)
by: Sarkar, Bidipta, et al.
Published: (2025)
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026)
by: Liao, Baohao, et al.
Published: (2026)
ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval
by: Yang, David H., et al.
Published: (2026)
by: Yang, David H., et al.
Published: (2026)
Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)
by: Song, Chaehee, et al.
Published: (2026)
Large Language Models Can Self-Improve At Web Agent Tasks
by: Patel, Ajay, et al.
Published: (2024)
by: Patel, Ajay, et al.
Published: (2024)
Mental Modeling of Reinforcement Learning Agents by Language Models
by: Lu, Wenhao, et al.
Published: (2024)
by: Lu, Wenhao, et al.
Published: (2024)
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)
by: Li, Ruochen, et al.
Published: (2024)
ALAS: Autonomous Learning Agent for Self-Updating Language Models
by: Atreja, Dhruv
Published: (2025)
by: Atreja, Dhruv
Published: (2025)
Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025)
by: Wang, Xingjin, et al.
Published: (2025)
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)
by: Villa, Danielle, et al.
Published: (2025)
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
by: Li, Hanchen, et al.
Published: (2026)
by: Li, Hanchen, et al.
Published: (2026)
Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
by: Anschel, Oron, et al.
Published: (2025)
by: Anschel, Oron, et al.
Published: (2025)
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
by: Zhuang, Yuchen, et al.
Published: (2025)
by: Zhuang, Yuchen, et al.
Published: (2025)
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)
by: Xie, Tianbao, et al.
Published: (2023)
Large Language Models Are Overparameterized Text Encoders
by: K, Thennal D, et al.
Published: (2024)
by: K, Thennal D, et al.
Published: (2024)
UserRL: Training Interactive User-Centric Agent via Reinforcement Learning
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
by: Ashiga, Mari, et al.
Published: (2025)
by: Ashiga, Mari, et al.
Published: (2025)
Text Quality-Based Pruning for Efficient Training of Language Models
by: Sharma, Vasu, et al.
Published: (2024)
by: Sharma, Vasu, et al.
Published: (2024)
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
by: Basak, Udvas, et al.
Published: (2024)
by: Basak, Udvas, et al.
Published: (2024)
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
by: Kim, Jaekyeom, et al.
Published: (2024)
by: Kim, Jaekyeom, et al.
Published: (2024)
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
by: Alsadat, Shayan Meshkat, et al.
Published: (2024)
by: Alsadat, Shayan Meshkat, et al.
Published: (2024)
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
by: Dai, Runpeng, et al.
Published: (2025)
by: Dai, Runpeng, et al.
Published: (2025)
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)
by: Yeh, Cheng-Kai, et al.
Published: (2025)
Large Language Models are Biased Reinforcement Learners
by: Hayes, William M., et al.
Published: (2024)
by: Hayes, William M., et al.
Published: (2024)
Similar Items
-
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024) -
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design
by: Neehal, Nafis, et al.
Published: (2024) -
The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models
by: Ratnakar, Shivam, et al.
Published: (2025) -
EfficientLLM: Efficiency in Large Language Models
by: Yuan, Zhengqing, et al.
Published: (2025) -
Adversarial Reinforcement Learning for Large Language Model Agent Safety
by: Wang, Zizhao, et al.
Published: (2025)