.. Sail-On Client documentation master file, created by sphinx-quickstart on Thu Sep 3 16:54:15 2020. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to Sail-On Client's documentation! ========================================== Release v\ |version| (:ref:`Installation `) **Sail-On Client** is a library used for supporting evaluation of open world algorithms in `DARPA SAIL-ON`_. The library is based on the work supported by DARPA under Contract No. HR001120C0055 and is licensed under `APACHE-V2 LICENSE`_. Sail-On Client is being developed as an open source library to support evaluating **vision centric** open world agents. This involves communicating with evaluation server across a RESTful interface, providing empirical protocols that are used to systematically evaluate the agents capabilities across multiple levels of the novelty hierarchy. Sail-On Client is built upon `tinker-engine`_, an open source library that provides the abstractions and interface used for running the empirical protocols Features -------- The major features provided by Sail-On Client - RESTful interface for communicating with the evaluation server - Empirical protocols for evaluating open world agents - Dynamic algorithm discovery via plugins - Configurable components with sensible defaults - Saving and Restoring parameter for an algorithm User Guide ---------- .. toctree:: :maxdepth: 2 user/install Hydra ----- .. toctree:: :maxdepth: 2 hydra/motivation hydra/config hydra/cli hydra/hydra_plugins Empirical Protocols ------------------- .. toctree:: :maxdepth: 2 protocols/ond protocols/condda protocols/protocol_api Interfaces ---------- .. toctree:: :maxdepth: 2 harness/harness harness/harness_api Metrics ------- .. toctree:: :maxdepth: 2 metrics/metric_formulation metrics/metric_api Feedback -------- .. toctree:: :maxdepth: 2 feedback/feedback feedback/feedback_api Agents ------ .. toctree:: :maxdepth: 2 agents/agents agents/agents_api Saving and Restoring Models --------------------------- .. toctree:: :maxdepth: 2 saving/features saving/checkpoint saving/checkpoint_api Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` .. Appendix 1: Links .. _DARPA SAIL-ON: https://www.darpa.mil/program/science-of-artificial-intelligence-and-learning-for-open-world-novelty .. _APACHE-V2 LICENSE: https://www.apache.org/licenses/LICENSE-2.0 .. _tinker-engine: https://github.com/tinker-engine/tinker-engine .. _SAIL-ON Website: https://www.darpa.mil/program/science-of-artificial-intelligence-and-learning-for-open-world-novelty