Reinforcement Learning with Simulation Environment
Altair EmployeeTypes of machine learning include supervised, unsupervised, and reinforcement learning. Reinforcement learning has become popular due to game and stock investments. However, how about product and equipment design? During the early stage of product and equipment design, without a physical asset, it is very difficult to have the environment to be explored with trial and error.
Altair simulation solutions, especially Activate, provide a simulation environment for you to have unlimited exploration. Activate is a physics integration platform that includes scripting, signal blocks, Modelica components, spice, and ROMs (Reduced Order Models). Also, it can be linked with native CAE for motion, electro-magentic, CFD and more. In addition, it also embraces a Python ecosystem.
Activate is a platform to converge Simulation and AI models together. From scratch, DQN(2013) and DDPG(2015) of Google DeepMind were implemented successfully with an inverted pendulum model in Activate. Here we could see nice progress like the following.
Interested in reducing risk, time, man power and money with unlimited exploration for reinforcement learning? Please visit and find Altair's Multi-physics environments for your needs.
- Altair Activate: https://www.altair.co.kr/activate/
- Altair One: https://marketplace.altairone.com/Marketplace