jangirrishabh/toyCarIRL

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

41
/ 100
Emerging

178 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 22 / 25

How are scores calculated?

Stars

178

Forks

46

Language

Python

License

MIT

Category

rl-environment-simulators

Last pushed

Oct 25, 2021

Commits (30d)

0

GitHub
RL Environment Simulators · 52 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jangirrishabh/toyCarIRL"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

qgallouedec/panda-gym

Set of robotic environments based on PyBullet physics engine and gymnasium.

59

nicrusso7/rex-gym

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

54

amazon-science/auction-gym

AuctionGym is a simulation environment that enables reproducible evaluation of bandit and...

50

upb-lea/openmodelica-microgrid-gym

OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids

48

vietnh1009/Super-mario-bros-A3C-pytorch

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

44

Explore ML Frameworks

All categories Trending ML Framework directory Insights