SkillGym: Training Skill-Use Agents with Automatic Verifiable Environment Generation
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/Reason-Wang/SkillGym
Sources
- Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
- Toward Scalable Terminal Task Synthesis via Skill Graphs
- Endless Terminals: Scaling RL Environments for Terminal Agents
- Skill-Use: Can LLMs Actually Use Skills in Agentic Harnesses?
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
- Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- Ministral 3
- MiniCPM4: Ultra-Efficient LLMs on End Devices
- Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Kimi K3: Open Frontier Intelligence
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- TravelPlanner: A Benchmark for Real-World Planning with Language Agents
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
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