simple-es VS AgileRL

Compare simple-es vs AgileRL and see what are their differences.

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simple-es AgileRL
1 12
14 493
- 2.6%
0.0 9.8
over 2 years ago 7 days ago
Python Python
Apache License 2.0 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.

simple-es

Posts with mentions or reviews of simple-es. We have used some of these posts to build our list of alternatives and similar projects.
  • Multi-agent Evolutionary strategies using PyTorch
    1 project | /r/reinforcementlearning | 25 Jul 2021
    There have been many studies that combine RL and ES(evolutionary strategies), and combining these methods and multi-agent reinforcement learning is my current interest. As a one who has only studied RL and has no knowledge of ES, I have created a multi-agent evolutionary strategies project using pytorch, simple-es.

AgileRL

Posts with mentions or reviews of AgileRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.

What are some alternatives?

When comparing simple-es and AgileRL you can also consider the following projects:

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

chat-ui - Open source codebase powering the HuggingChat app

RLeXplore - RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

loopquest - A Production Tool for Embodied AI

de-torch - Minimal PyTorch Library for Differential Evolution

Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

Open-Llama - The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.

easyopt - zero-code hyperparameters optimization framework

tnt - A lightweight library for PyTorch training tools and utilities

hlb-gpt - Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).

voxelgym2D - Gymnasium based RL environment for 2D grid path planning