dreamerv2
rex-gym
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| dreamerv2 | rex-gym | |
|---|---|---|
| 4 | 1 | |
| 853 | 957 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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
rex-gym
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By moving the battery pack forward, you can make the popular SpotMicro design balance much better. We had trouble getting it to do standing/walking because the center of mass was far to the back.
Our work was based on (SpotMicro)[https://github.com/michaelkubina/SpotMicroESP32] and (Rex Gym)[https://github.com/nicrusso7/rex-gym]. Our GitHub is (here)[https://github.com/LSaldyt/laser-dog]
What are some alternatives?
dreamerv3 - Mastering Diverse Domains through World Models
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
dreamer - Dream to Control: Learning Behaviors by Latent Imagination
robot-gym - RL applied to robotics.
panda-gym - Set of robotic environments based on PyBullet physics engine and gymnasium.
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PILCO - Bayesian Reinforcement Learning in Tensorflow
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
planet - Learning Latent Dynamics for Planning from Pixels
gym-battleship - Battleship environment for reinforcement learning tasks