dreamerv2
asreview
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dreamerv2 | asreview | |
---|---|---|
4 | 1 | |
853 | 550 | |
- | 3.6% | |
0.0 | 9.2 | |
over 1 year ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
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
asreview
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[R] Researchers at Utrecht University Develop an Open-Source Machine Learning (ML) Framework Called ASReview to Help Researchers Carry Out Systematic Reviews
GitHub: https://github.com/asreview/asreview
What are some alternatives?
dreamerv3 - Mastering Diverse Domains through World Models
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
dreamer - Dream to Control: Learning Behaviors by Latent Imagination
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
panda-gym - Set of robotic environments based on PyBullet physics engine and gymnasium.
arxivbox - Web interface for browsing arXiv papers
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
People-Counting-in-Real-Time - People Counting in Real-Time with an IP camera.
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
orion - Asynchronous Distributed Hyperparameter Optimization.
planet - Learning Latent Dynamics for Planning from Pixels
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.