Gym-Stag-Hunt
gymprecice
| Gym-Stag-Hunt | gymprecice | |
|---|---|---|
| 1 | 1 | |
| 25 | 20 | |
| - | - | |
| 0.0 | 7.4 | |
| about 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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Gym-Stag-Hunt
gymprecice
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Interesting Physics related RL gym?
Please check our recently released package https://github.com/gymprecice/gymprecice. There are couple of example there for active flow control and FSI. Gym-preCICE is a Python preCICE adapter fully compliant with Gymnasium (also known as OpenAI Gym) API to facilitate designing and developing Reinforcement Learning (RL) environments for single- and multi-physics active flow control (AFC) applications. In an actor-environment setting, Gym-preCICE takes advantage of preCICE, an open-source coupling library for partitioned multi-physics simulations, to handle information exchange between a controller (actor) and an AFC simulation environment. The developed framework results in a seamless non-invasive integration of realistic physics-based simulation toolboxes with RL algorithms.
What are some alternatives?
santorini-RL - Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment
MO-Gymnasium - Multi-objective Gymnasium environments for reinforcement learning
csle - A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
Minari - A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
gym-simplegrid - Simple Gridworld Gymnasium Environment
gym-hybrid - Collection of OpenAI parametrized action-space environments.
gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym
modelicagym - Modelica models integration with Open AI Gym