Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...

Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks at trillion scale

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.
TechCrunch

The reinforcement gap — or why some AI skills improve faster than others

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
GeekWire

CoreWeave to acquire OpenPipe, a Seattle-area startup that uses reinforcement learning to help companies build AI agents

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Sep 4, 2025 at 8:00 ...
IEEE

RLCoder: Reinforcement Learning for Repository-Level Code Completion

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
Inside Higher Ed

Practical Use Cases for Learning With VR In Higher Education

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...
marktechpost

NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning

Reasoning capabilities represent a fundamental component of AI systems. The introduction of OpenAI o1 sparked significant interest in building reasoning models through large-scale reinforcement ...
marktechpost

Xiaomi introduced MiMo-7B: A Compact Language Model that Outperforms Larger Models in Mathematical and Code Reasoning through Rigorous Pre-Training and Reinforcement Learning

With rising demand for AI systems that can handle tasks involving multi-step logic, mathematical proofs, and software development, researchers have turned their attention toward enhancing models’ ...
GitHub

RL example and question

I saw the reinforcement learning example notebook and defined an environment on one of the benchmark microgrids, just as in the example.However, I encountered an error when running the code.