Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini “Floating Brain” Problem In our previous articles, we discussed how to give the agent knowledge (graphs), vision (shapes), …
Tag:
reinforcement
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AI Tools
Forget Keyword Mimicry: ByteDance AI Maps Molecular Bonds in AI Reasoning to Stabilize Long Chain-Thought Performance and Reinforcement Learning (RL) Training
ByteDance Seed recently released research that could change the way we build reasoning AI. For years, developers and AI researchers have struggled to ‘cold-start’ large language models (LLMs). Long Chain …
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AI News
Kyutai releases Hibiki-Zero: A3B parameter simultaneous speech-to-speech translation model using GRPO reinforcement learning without any word-level aligned data
Kyutai has released hibiki-zeroA new model for simultaneous speech-to-speech translation (S2ST) and speech-to-text translation (S2TT). The system translates the source speech into the target language in real time. It handles …
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AI News
A coding implementation to train safety-critical reinforcement learning agents offline using d3rlpy and conservative Q-learning with fixed historical data
In this tutorial, we build a security-critical reinforcement learning pipeline that learns from fully deterministic, offline data instead of live exploration. We design a custom environment, generate a behavior dataset …
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AI Tools
Nuss Research releases NussCoder-14b: a competitive Olympiad programming model, post-trained on QUEN3-14b via reinforcement learning.
Nous Research has introduced NousCoder-14B, a competitive Olympiad programming model that is trained on the Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers …
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AI Tools
Meet SETA: open source training reinforcement learning environment for terminal agents with 400 tasks and CAMEL toolkit
What does the end-to-end stack look like for terminal agents when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluations? A team of researchers from CAMEL AI, Eigent …
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AI Basics
Why even reinforcement learning can’t beat casinos (and why I created a simulation to prove it)
Author(s): alopix Originally published on Towards AI. Mathematical and reinforcement learning tours through blackjack, poker, slot machines and roulette Casinos are one of the few environments where the rules are …
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Generative AI
Liquid AI’s LFM2-2.6B-Exp uses pure reinforcement learning RL and dynamic hybrid reasoning to optimize small model behavior
Liquid AI has introduced LFM2-2.6b-XP, an experimental checkpoint of its LFM2-2.6b language model trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is simple, to …