NVIDIA Demos Agent-Led Research Workflow
NVIDIA Developer · youtube · 2026-07-15
NVIDIA demonstrated an "agent-led autoresearch" workflow integrating NeMo RL, NeMo Gym, and Brev, enabling Codex to automatically configure GPU environments, run experiments, and log results via agent skills.
The video showcased two examples:
- Visual Counting + Reinforcement Learning: Building a visual star-counting environment for Qwen3-VL-2B-Instruct, boosting accuracy from 25.0% to 96.875% after training.
- Paper-to-code Validation: Using an agent to convert papers into code and initiate validation training, while researchers still manage research goals, budgets, and final judgments.
Accompanying resources include the GitHub repos for NeMo RL and NeMo Gym, along with Brev's launchable environment.
Related event: NVIDIA shows coding agents autonomously running research(6 posts)→
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