RHO-Loss VS EfficientZero

Compare RHO-Loss vs EfficientZero and see what are their differences.


Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021. (by YeWR)
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RHO-Loss EfficientZero
1 8
143 695
3.5% -
5.4 2.8
6 months ago 8 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.


Posts with mentions or reviews of RHO-Loss. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-14.


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 2022-12-20.

What are some alternatives?

When comparing RHO-Loss and EfficientZero you can also consider the following projects:

flash-attention-jax - Implementation of Flash Attention in Jax

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

flash-attention - Fast and memory-efficient exact attention

CodeRL - This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model


google-research - Google Research