|29 days ago||10 months ago|
|MIT License||MIT License|
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PyDreamer: model-based RL written in PyTorch + integrations with DM Lab and MineRL environments
4 projects | /r/reinforcementlearning | 26 Nov 2021
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? :)
Any current state or the art libraries for training agents to play atari games?
2 projects | /r/reinforcementlearning | 25 Nov 2021
Last I checked, for running off a single node, the state of the art was Dreamerv2 https://github.com/danijar/dreamerv2
What are some alternatives?
dreamer - Dream to Control: Learning Behaviors by Latent Imagination
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
panda-gym - Set of robotic environments based on PyBullet physics engine and gymnasium.
ma-gym - A collection of multi agent environments based on OpenAI gym.
FoliClientInstaller - Installs the Foli Client Minecraft modpack
ITAQA-air-quality-aggregator - Framework to collect, aggregate and process air pollution data from different sources (Italy regions)
planet - Learning Latent Dynamics for Planning from Pixels
pydreamer - PyTorch implementation of DreamerV2 model-based RL algorithm
orion - Asynchronous Distributed Hyperparameter Optimization.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dreamerv3 - Mastering Diverse Domains through World Models