AgileRL VS RLeXplore

Compare AgileRL vs RLeXplore and see what are their differences.

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). (by RLE-Foundation)
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AgileRL RLeXplore
12 1
501 317
4.2% 0.3%
9.8 6.8
5 days ago 6 days ago
Python Jupyter Notebook
Apache License 2.0 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.

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.

RLeXplore

Posts with mentions or reviews of RLeXplore. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-24.

What are some alternatives?

When comparing AgileRL and RLeXplore you can also consider the following projects:

chat-ui - Open source codebase powering the HuggingChat app

rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

loopquest - A Production Tool for Embodied AI

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

de-torch - Minimal PyTorch Library for Differential Evolution

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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

stable-baselines - Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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

stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

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

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms