Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning
Published:Dec 28, 2025 12:41
•1 min read
•ArXiv
Analysis
The article introduces Sat-EnQ, a method for improving the reliability and efficiency of reinforcement learning. It focuses on using ensembles of weak Q-learners. The source is ArXiv, indicating a research paper.
Key Takeaways
- •Focuses on improving reliability and compute efficiency in reinforcement learning.
- •Utilizes ensembles of weak Q-learners.
- •The research is published on ArXiv.
Reference
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