Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment
cs.LG, cs.PL
Submitted: 2025-08-06
Updated: 2026-08-31
Code: https://github.com/nuprl/agnostics-framework
Terminology
Sources
- OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
- Program Synthesis with Large Language Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
- Decoupled Weight Decay Regularization
- StarCoder 2 and The Stack v2: The Next Generation
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
- Measuring The Impact Of Programming Language Distribution
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- SelfCodeAlign: Self-Alignment for Code Generation
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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