Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...
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 ...
Abstract: Short block-length polar-like codes showcase exceptional error correction performance (ECP) using sequential decoding or successive cancellation list ...
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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