modelicagym VS robo-gym

Compare modelicagym vs robo-gym and see what are their differences.

robo-gym

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots. (by jr-robotics)
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modelicagym robo-gym
1 4
73 371
- 0.0%
0.0 0.0
almost 2 years ago about 2 years ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

modelicagym

Posts with mentions or reviews of modelicagym. We have used some of these posts to build our list of alternatives and similar projects.

robo-gym

Posts with mentions or reviews of robo-gym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-22.

What are some alternatives?

When comparing modelicagym and robo-gym you can also consider the following projects:

ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research

IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees

Minigrid - Simple and easily configurable grid world environments for reinforcement learning

rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

gym-hybrid - Collection of OpenAI parametrized action-space environments.

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).

space-gym - Challenging reinforcement learning environments with locomotion tasks in space

football - Check out the new game server:

gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym

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.