SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

arXiv:2608.24747 · cs.CL · Submitted 2026-08-25 · Read on arXiv

cs.CL

Submitted: 2026-08-25

Updated: 2026-08-25

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 30× in this paper · explained in 2 episodes
• Abstraction — 21× in this paper · explained in 1 episode
• GRPO — 20× in this paper · explained in 6 episodes
• Reinforcement Learning — 16× in this paper · explained in 4 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Self-Evolving Agents — 3× in this paper · explained in 2 episodes
• Task Goal Completion — 3× in this paper
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Agent Memory — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Scenario Goal Completion — 2× in this paper
• Transferability — 2× in this paper · explained in 4 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agent Skills — 1× in this paper · explained in 1 episode
• Agentic Problem — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
• Memory in the Age of AI Agents
• DeepAgent: A General Reasoning Agent with Scalable Toolsets
• A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
• DeepSeek-V3 Technical Report
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• SimpleMem: Efficient Lifelong Memory for LLM Agents
• Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
• SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
• LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
• Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
• Tongyi DeepResearch Technical Report
• MIRIX: Multi-Agent Memory System for LLM-Based Agents
• MemEvolve: Meta-Evolution of Agent Memory Systems
• A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents
• Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
• SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
• Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

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