dreamerv2
orion
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| dreamerv2 | orion | |
|---|---|---|
| 4 | 1 | |
| 853 | 278 | |
| - | 0.4% | |
| 0.0 | 7.4 | |
| about 1 year ago | 4 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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.
dreamerv2
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Sources of Actor Gradients
In fact, they found that just reinforce gradients work in DM control now too: Dreamerv2 GitHub (they just needed to turn off gradients through the action path - which I guess was being passed back with straight-through estimation? I'm actually having a difficult time telling how the gradient is different on the action vs policy.log_prob(action)).
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PyDreamer: model-based RL written in PyTorch + integrations with DM Lab and MineRL environments
This is my implementation of Hafner et al. DreamerV2 algorithm. I found the PlaNet/Dreamer/DreamerV2 paper series to be some of the coolest RL research in recent years, showing convincingly that MBRL (model-based RL) does work and is competitive with model-free algorithms. And we all know that AGI will be model-based, right? :)
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Any current state or the art libraries for training agents to play atari games?
Last I checked, for running off a single node, the state of the art was Dreamerv2 https://github.com/danijar/dreamerv2
- Google AI, DeepMind And The University of Toronto Introduce DreamerV2, The First Reinforcement Learning (RL) Agent That Outperforms Humans on The Atari Benchmark
orion
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Git token, how to I encourage git to have me put in a username and password?
$ git remote show origin [email protected]:Epistimio/orion.git << SSH $ git remote show origin https://github.com/Epistimio/orion.git << HTTPs
What are some alternatives?
dreamerv3 - Mastering Diverse Domains through World Models
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dreamer - Dream to Control: Learning Behaviors by Latent Imagination
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
panda-gym - Set of robotic environments based on PyBullet physics engine and gymnasium.
nylon - An intelligent, flexible grammar of machine learning.
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ds2ai-python - The MLOps platform for innovators 🚀
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.
planet - Learning Latent Dynamics for Planning from Pixels
asreview - Active learning for systematic reviews