RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...
Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
XDA Developers on MSN
Local LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use
There's always a local model that can replace your AI subscription ...
Abstract: Safe reinforcement learning (RL) aims to learn policy while also ensuring the safety constraints. An increasingly common approach is to design a safety filter based on control barrier ...
Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...
B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.
Outcome-reward RL methods such as GRPO mainly learn from sparse trajectory-level success signals. EnvRL uses the richer interaction experience inside each rollout. Given a transition (history, obs_t, ...
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