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  2. Differential dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Differential_Dynamic...

    Differential dynamic programming (DDP) is an optimal control algorithm of the trajectory optimization class. The algorithm was introduced in 1966 by Mayne [1] and subsequently analysed in Jacobson and Mayne's eponymous book. [2] The algorithm uses locally-quadratic models of the dynamics and cost functions, and displays quadratic convergence ...

  3. DeepSeek - Wikipedia

    en.wikipedia.org/wiki/DeepSeek

    It is similar to PyTorch DDP, which uses NCCL on the backend. HAI Platform: Various applications such as task scheduling, fault handling, and disaster recovery. [42] As of 2022, Fire-Flyer 2 had 5000 PCIe A100 GPUs in 625 nodes, each containing 8 GPUs. [22] They later incorporated NVLinks and NCCL, to train larger models that required model ...

  4. Mixture of experts - Wikipedia

    en.wikipedia.org/wiki/Mixture_of_experts

    For example, if each query is routed to one expert as in Switch Transformers, and if the experts are load-balanced, then each expert should expect on average / queries in a batch. In practice, the experts cannot expect perfect load balancing: in some batches, one expert might be underworked, while in other batches, it would be overworked.

  5. Data Distribution Service - Wikipedia

    en.wikipedia.org/wiki/Data_Distribution_Service

    The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.

  6. Automatic differentiation - Wikipedia

    en.wikipedia.org/wiki/Automatic_differentiation

    Reverse accumulation traverses the chain rule from outside to inside, or in the case of the computational graph in Figure 3, from top to bottom. The example function is scalar-valued, and thus there is only one seed for the derivative computation, and only one sweep of the computational graph is needed to calculate the (two-component) gradient.

  7. COLLADA - Wikipedia

    en.wikipedia.org/wiki/COLLADA

    COLLADA (for 'collaborative design activity') is an interchange file format for interactive 3D applications. It is managed by the nonprofit technology consortium, the Khronos Group, and has been adopted by ISO as a publicly available specification, ISO/PAS 17506.

  8. Template:Example files - Wikipedia

    en.wikipedia.org/wiki/Template:Example_files

    This is the {{example files}} notice box. It can be placed on the "example" file's description pages and at the top of their talk pages. It explains how and when the example files should and shouldn't be used. At least the images have constantly been confusing people, so an explanation is needed.

  9. Temporal difference learning - Wikipedia

    en.wikipedia.org/wiki/Temporal_difference_learning

    TD-Lambda is a learning algorithm invented by Richard S. Sutton based on earlier work on temporal difference learning by Arthur Samuel. [11] This algorithm was famously applied by Gerald Tesauro to create TD-Gammon, a program that learned to play the game of backgammon at the level of expert human players.