Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
cs.LG, cs.CL
Submitted: 2026-05-11
Updated: 2026-10-10
Comments: Implementation code is available at https://github.com/ejhshen/SLIM
Code: https://github.com/ejhshen/SLIM
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
- Large Language Models for Mathematical Reasoning: Progresses and Challenges
- SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
- InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
- Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
- Understanding the planning of LLM agents: A survey
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
- A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
- SimpleMem: Efficient Lifelong Memory for LLM Agents
- SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
- Large Language Model Agent: A Survey on Methodology, Applications and Challenges
- Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- LLM With Tools: A Survey
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- WebXSkill: Skill Learning for Autonomous Web Agents
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