EfficientZero
Fork of EfficientZero to use newer libraries and to fix a few runtime bugs. Also includes pretrained models! (by steventrouble)
minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research (by facebookresearch)
| EfficientZero | minihack | |
|---|---|---|
| 1 | 5 | |
| 7 | 451 | |
| - | 2.2% | |
| 5.0 | 6.7 | |
| about 1 year ago | 13 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
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.
EfficientZero
Posts with mentions or reviews of EfficientZero.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-07.
minihack
Posts with mentions or reviews of minihack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-22.
- Difficult RL generalization benchmarks
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Anyone found any working replication repo for MuZero?
I have an implementation of Stochastic MuZero in JAX. It's been tested solely in MiniHack environments, but can be made to work in other environments by changing the representation function.
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Best GridWorld environment?
If you want something as simple as possible, I'd go with MiniGrid, and if you want to have a richer world with more complex settings, then MiniHack.
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Facebook AI Introduces ‘MiniHack’: A Sandbox Framework For Designing Rich And Diverse Environments For Reinforcement Learning (RL)
4 Min Read | Github |Paper
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
What are some alternatives?
When comparing EfficientZero and minihack you can also consider the following projects:
mctx - Monte Carlo tree search in JAX
gym-simplegrid - Simple Gridworld Gymnasium Environment
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
gym-gridverse - Gridworld domains in the gym interface
ede - Code for the paper "Uncertainty-Driven Exploration for Generalization in Reinforcement Learning".
EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
omega - A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.