# Mastering Agentic Techniques: AI Agent Reinforcement Learning

DevFeed: [Mastering Agentic Techniques: AI Agent Reinforcement Learning](<https://devfeed.tech/articles/mastering-agentic-techniques-ai-agent-reinforcement-learning-6879.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/mastering-agentic-techniques-ai-agent-reinforcement-learning/>)

Author: Elizabeth Goodman

Published: 2026-07-01T17:04:02Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-platforms-deployment](<https://devfeed.tech/tags/ai-platforms-deployment.md>), [featured](<https://devfeed.tech/tags/featured.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [nemo](<https://devfeed.tech/tags/nemo.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [rag](<https://devfeed.tech/tags/rag.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [rlhf](<https://devfeed.tech/tags/rlhf.md>), [rlvr](<https://devfeed.tech/tags/rlvr.md>), [tool](<https://devfeed.tech/tags/tool.md>)

## AI overview

A guide to using reinforcement learning with verifiable rewards to post-train language models for specialized, long-running AI agents. It explains when prompting, RAG, tools, and agent harnesses are insufficient, and describes reward signals based on verifiers, execution, validation, models, and human feedback.

## Source excerpt

Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer...