CARL vs CausalWorld

CARL

Benchmarking RL generalization in an interpretable way. (by automl)

generalization reinforcement-learning

Source Code

automl.github.io

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CausalWorld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning (by rr-learning)

reinforcement-learning transfer-learning Robotics Causality sim2real generalization

Source Code

sites.google.com

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CARL		CausalWorld
	Project
1	Mentions	1
123	Stars	201
7.3%	Growth	2.5%
9.4	Activity	0.0
3 months ago	Latest Commit	over 1 year ago
Python	Language	Python
Apache License 2.0	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.

CARL

Posts with mentions or reviews of CARL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-29.

Looking for environments for Curriculum Learning
2 projects | /r/reinforcementlearning | 29 Apr 2023

Check out CARL and the list in this survey of generalization in RL. There's also TeachMyAgent, though I'm not sure if that's what you're looking for.

CausalWorld

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

Microsoft's CausalCity
1 project | /r/CausalInference | 30 Jun 2021

What are some alternatives?

When comparing CARL and CausalWorld you can also consider the following projects:

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees

transformer_generalization - The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]

pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

OmniIsaacGymEnvs-DofbotReacher - Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

TeachMyAgent - TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.

OmniIsaacGymEnvs-UR10Reacher - UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim