robo-gym
modelicagym
| robo-gym | modelicagym | |
|---|---|---|
| 4 | 1 | |
| 371 | 73 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| about 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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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
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?
IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
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-hybrid - Collection of OpenAI parametrized action-space environments.
football - Check out the new game server:
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
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.
gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym