crafter VS dreamerv2

Compare crafter vs dreamerv2 and see what are their differences.

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crafter dreamerv2
2 4
314 802
- -
0.0 0.0
29 days ago 10 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

crafter

Posts with mentions or reviews of crafter. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning crafter yet.
Tracking mentions began in Dec 2020.

dreamerv2

Posts with mentions or reviews of dreamerv2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-26.

What are some alternatives?

When comparing crafter and dreamerv2 you can also consider the following projects:

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