babyai
modelicagym
| babyai | modelicagym | |
|---|---|---|
| 1 | 1 | |
| 669 | 74 | |
| 1.3% | - | |
| 1.7 | 0.0 | |
| 8 months ago | about 2 years ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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babyai
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RL Environment with varying levels of difficulty
Try BabyAI: https://github.com/mila-iqia/babyai
modelicagym
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control libraries for python
Modelica-gym can be used if you are implementing model separately in Modelica language
What are some alternatives?
imitation - Clean PyTorch implementations of imitation and reward learning algorithms
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
gym-hybrid - Collection of OpenAI parametrized action-space environments.
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym
bark-ml - Gym environments and agents for autonomous driving.
gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.