AINewsnow

Hyperparameters fine tuning for MARL comparative study [D]

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

hello everyone. I'm training PPO variants on different multi-agent tasks from the VMAS library (Independent PPO / Graph PPO and such, see HetGPPO by Bettini et al.). I noticed that for every architecture/scenario couple, the optimal hyperparameters sometimes tend to vary (learning rate, entropy coe…

Read the full story at r/MachineLearning ↗

Timeline · 1 report

  1. 2026-08-24 21:10 · r/MachineLearning
    Hyperparameters fine tuning for MARL comparative study [D]

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  6. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  7. Meet the Data Agent in ChatGPT Work — OpenAI YouTube
  8. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI

Get the daily brief of stories like this at 6:30 every morning →