neroRL
Deep Reinforcement Learning Framework done with PyTorch (by MarcoMeter)
ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. (by Unity-Technologies)
| neroRL | ml-agents | |
|---|---|---|
| 3 | 60 | |
| 26 | 16,358 | |
| - | 1.0% | |
| 0.0 | 8.0 | |
| 7 months ago | 15 days ago | |
| Jupyter Notebook | C# | |
| MIT License | GNU General Public License v3.0 or later |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
neroRL
Posts with mentions or reviews of neroRL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-29.
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Convergence of PPO
You can take a look at my implementation https://github.com/MarcoMeter/neroRL .
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Recurrent PPO using truncated BPTT
this implementation does BPTT only, but concerning normal BP performance I can refer you to my framework neroRL. The develop branch contains the BPTT implementation of the above recurrent baseline. In neroRL you can easily toggle BPTT on/off. Both codes are pretty much the same. neroRL has more tools and supports more features (e.g. multi-discrete actions).
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Implementing A Recurrent Ppo Policy To Solve
If it is related to the recurrent policy implementation then the function for that is defined here. I merged the current state of the recurrent policy to the develop branch.
ml-agents
Posts with mentions or reviews of ml-agents.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-08.
- How do I change the maximum number of steps for training
- are the install steps update to date?
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Help with regenerating new worker id
I am a beginner to using ML Agents to simulate an environment for DL i am trying to trial runs by tinkering through different values between the action space and keep encountering this issue when attempting to run a new trial. I've tried mlagents-learn --force and mlagents-learn --run-id=newtest but both prompt the same error message. Using linux, I am aware of a similar bug occuring in older versions (https://github.com/Unity-Technologies/ml-agents/issues/1505) but solutions didn't fix it.
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Trying to get into AI
The Github page for ML-Agents has a fairly straight forward example.
- Implement API to allow AI/ML to play your game, or is it not needed?
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Is there a good alternative to Unity ML Agents?
Very few commits in the last year and not many new features (https://github.com/Unity-Technologies/ml-agents/commits/develop)
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At least I put effort into the AI prompt to generate some code that people can refer to, whereas you do absolutely nothing to contribute to the community.
and PR content: https://github.com/Unity-Technologies/ml-agents/commit/ed212103e451449bf84711a4a8f7bf11dfb1211a
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I have some questions as an absolute beginner.
Unity can build a stand-alone application or be used as a library. Javascript is deprecated, and Boo along with it although it was never really supported to begin with. Various types of machine learning are supported through the ML-Agent Toolkit and pretty well documented. The toolkit has a Python API but you should be careful about doing anything too unusual in Unity because the documentation tends to have a lot of dead-ends.
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Could Somebody please help me figure this out ? been struggling with it for a week now
Op, I'd just pull the repo again to a new folder from https://github.com/Unity-Technologies/ml-agents (use SourceTree for simplicity if you don't know git).
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Unity ML-Agents documentation is wrong, I can't build an executable and run training as the docs state
My github issue on their documentation: https://github.com/Unity-Technologies/ml-agents/issues/5899
What are some alternatives?
When comparing neroRL and ml-agents you can also consider the following projects:
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
gym - A toolkit for developing and comparing reinforcement learning algorithms.
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
carla - Open-source simulator for autonomous driving research.
AssetStudio - AssetStudio is a tool for exploring, extracting and exporting assets and assetbundles.
unity-avatar-generation - A minimal example of how to use Unity's AvatarBuilder.BuildHumanAvatar API.
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
MediaPipeUnityPlugin - Unity plugin to run MediaPipe
google-research - Google Research
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
neroRL vs recurrent-ppo-truncated-bptt
ml-agents vs gym
ml-agents vs AirSim
ml-agents vs carla
ml-agents vs AssetStudio
ml-agents vs unity-avatar-generation
ml-agents vs ultimate-volleyball
ml-agents vs tensortrade
ml-agents vs recurrent-ppo-truncated-bptt
ml-agents vs MediaPipeUnityPlugin
ml-agents vs google-research
ml-agents vs rlcard