imitation VS IRL

Compare imitation vs IRL and see what are their differences.

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imitation IRL
1 1
1,151 1
3.0% -
7.5 0.0
2 months ago almost 3 years ago
Python Python
MIT 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.

imitation

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

IRL

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

What are some alternatives?

When comparing imitation and IRL you can also consider the following projects:

neat - [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

DI-engine - OpenDILab Decision AI Engine

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

babyai - BabyAI platform. A testbed for training agents to understand and execute language commands.

f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.

tianshou - An elegant PyTorch deep reinforcement learning library.

falken - Falken provides developers with a service that allows them to train AI that can play their games