maro
agents-aea
| maro | agents-aea | |
|---|---|---|
| 9 | 3 | |
| 816 | 190 | |
| 1.7% | 2.1% | |
| 3.5 | 0.0 | |
| 2 months ago | 10 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
agents-aea
What are some alternatives?
openerp-6.1.1
Adala - Adala: Autonomous DAta (Labeling) Agent framework
pyEnigma - Python Enigma cypher machine simulator.
multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.
VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
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).
gym-multigrid - Lightweight multi-agent gridworld Gym environment
palletier - Palletier is a Python implementation of the solution for the distributer's pallet packing problem
Agently - [AI Agent Application Development Framework] - 🚀 Build AI agent native application in very few code 💬 Easy to interact with AI agent in code using structure data and chained-calls syntax 🧩 Enhance AI Agent using plugins instead of rebuild a whole new agent
blender-quadcopter-fpv - Quadcopter FPV Simulator for blender to capture epic footage
TradingviewSnapshotBot - This is TradingviewSnapshotBot 🤖, It can generate Tradingview Chart Snapshots 📊 of your choice and send it over telegram.