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Reinforcement Learning

135 summarised stories about Reinforcement Learning, each linking back to the original source. Browse all topics →

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Tuesday, 6 October 2026

Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields

MarkTechPost 1 week ago 16

Researchers released JEPA-Anything, a domain-agnostic JEPA-based framework that uses one shared learning recipe across multiple world-modeling fields. It tested Orthogonal Predictive Factorization (OPF) with K = 4 factors per JEPA latent target (d = K × r). The approach splits the target into orthogonal subspaces, recombines factor predictions with a pseudoinverse, and yields improved matched dynamics results on all 10 tasks (including a 34.83% MSE drop on Interventional Pong single-intervention).

Reflection AI debuts open-source Beam model with 501B parameters

SiliconANGLE 1 week ago 38 ● 6 sources

Reflection AI launched Beam, an open-source large language model with 501 billion parameters. Beam Base was trained on 23.8 trillion tokens sourced from the public web and commercial sources. The release makes Beam available via early access and Reflection AI plans to publish the model weights, documentation, and fine-tuning tools later this month.

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