ai-economist
robo-gym
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| ai-economist | robo-gym | |
|---|---|---|
| 5 | 4 | |
| 1,060 | 371 | |
| - | 4.0% | |
| 0.0 | 0.0 | |
| 8 months ago | about 2 years ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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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.
ai-economist
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Agent-based modeling in applied economics?
3 Area of Reinforcement learning, in particular, has demonstrated impressive breakthroughs recently. There were attempts to apply it to economic policy planning and finance
- "The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning", Zheng et al 2021 {Salesforce}
- How to assemble the The AI Economist program in python ?
- IA economista comparou modelos de livre mercado, de taxação maior sobre os ricos, e seu próprio modelo de desenvolvimento para descobrir qual deles melhor promove alta produtividade e igualdade social. Resultado: livre mercado é o pior modelo, e a IA se saiu melhor que o modelo proposto por Saez
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Improving Equality and Productivity with AI-Driven Tax Policies
They're also on Github -> https://github.com/salesforce/ai-economist
robo-gym
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Simulating robotic arm for object manipulation
what about robo-gym https://github.com/jr-robotics/robo-gym?
- Joanneum Research Institute Release Version 1.0.0 Of Robo-Gym, An Open Source Toolkit For Distributed Deep Reinforcement Learning On Real And Simulated Robots
What are some alternatives?
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
modelicagym - Modelica models integration with Open AI Gym
MLflow - Open source platform for the machine learning lifecycle
football - Check out the new game server:
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
MuJoCo_RL_UR5 - A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.