endless-memory-gym
ml-agents
| endless-memory-gym | ml-agents | |
|---|---|---|
| 1 | 60 | |
| 67 | 16,394 | |
| - | 1.2% | |
| 6.7 | 8.0 | |
| 21 days ago | 7 days ago | |
| Python | C# | |
| MIT License | GNU General Public License v3.0 or later |
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endless-memory-gym
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TransformerXL + PPO Baseline + MemoryGym
Code: https://github.com/MarcoMeter/drl-memory-gym
ml-agents
- 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?
quantum-arch-search - Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
gym - A toolkit for developing and comparing reinforcement learning algorithms.
episodic-transformer-memory-ppo - Clean baseline implementation of PPO using an episodic TransformerXL memory
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
ConvLSTM-PyTorch - ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
carla - Open-source simulator for autonomous driving research.
DI-engine - OpenDILab Decision AI Engine
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.
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT