f-IRL VS imitation

Compare f-IRL vs imitation and see what are their differences.

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f-IRL imitation
2 1
35 1,143
- 2.3%
1.8 7.5
10 months ago about 2 months 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.

f-IRL

Posts with mentions or reviews of f-IRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-12.

imitation

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

What are some alternatives?

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

Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

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

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

IRL - Algorithms for Inverse Reinforcement Learning

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

DI-engine - OpenDILab Decision AI Engine

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

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

tianshou - An elegant PyTorch deep reinforcement learning library.

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