News

Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere ...
With the launch of o3-pro, let’s talk about what AI “reasoning” actually does
Beyond the reported performance improvements, OpenAI announced a substantial price reduction for developers. O3-pro costs $20 ...
GitHub16d
CleanRL (Clean Implementation of RL Algorithms)
For example, our ppo_atari.py only has 340 lines of code but contains all implementation details on how PPO works with Atari games, so it is a great reference implementation to read for folks who do ...
GitHub23d
GitHub - Tongyi-Zhiwen/QwenLong-L1
May 28, 2025: 🔥 We release 🤗 QwenLong-L1-32B-AWQ, which has undergone AWQ int4 quantization using the ms-swift framework. May 26, 2025: 🔥 We release 🤗 QwenLong-L1-32B, which is the first ...
IEEE27d
Log-Regularized Dictionary-Learning-Based Reinforcement Learning Algorithm for GNSS Positioning Correction | IEEE Journals & Magazine | IEEE Xplore
In this article, we develop a dictionary learning-based reinforcement learning (RL) algorithm with the nonconvex log regularizer for GNSS positioning correction. To avoid DNN instability problems, a ...