maro
pyEnigma
maro | pyEnigma | |
---|---|---|
9 | 1 | |
818 | 64 | |
2.2% | - | |
3.5 | 6.3 | |
3 months ago | about 1 month ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
maro
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Headstart for multi-container optimization problem.
Yes, I have actually. Some of them which i could find out were: https://github.com/tryton/tryton/tree/main https://pypi.org/project/pyShipping-python3/ https://github.com/microsoft/maro https://github.com/yat-co/yat-trailer-loading https://github.com/duyet/openerp-6.1.1
- maro: NEW Deep Learning And Reinforcement Learning - star count:609.0
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What's the outlook of Reinforcement Learning?
As far as current SOTA applications, you can just Google it and find plenty of examples of RL being used outside the realm of games. Video/board games offer a nice domain for research in RL, but the underlying algorithms can be (and have been) applied to plenty of domains outside of this. A big one, currently, is robotics. Another example is resource optimization, which is probably currently being developed, if not used, in a lot of technical domains. As u/daddabarba pointed out, RL can also be used in other areas of AI, like text generation.
pyEnigma
What are some alternatives?
openerp-6.1.1
bruteforce-enigma - A tool for cracking and bruteforcing Enigma ciphers.
agents-aea - A framework for autonomous economic agent (AEA) development
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.
palletier - Palletier is a Python implementation of the solution for the distributer's pallet packing problem
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
blender-quadcopter-fpv - Quadcopter FPV Simulator for blender to capture epic footage
ELM327-emulator - ELM327 Emulator for testing software interfacing OBDII via ELM327 adapter supporting multi-ECU simulation