Up and Down the Abstraction Ladder: Code-Based Skills for Language Agents
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- gpt-oss-120b & gpt-oss-20b Model Card
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Gemma 3 Technical Report
- The Llama 3 Herd of Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
- Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
- Trust Region Masking for Long-Horizon LLM Reinforcement Learning
- Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
- Qwen3.5-Omni Technical Report
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
- Proximal Policy Optimization Algorithms
- OpenAI GPT-5 System Card
- OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
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