# jangirrishabh/toyCarIRL

<https://repo.masters-masters.com/en/repos/jangirrishabh/toyCarIRL>

[Home](https://repo.masters-masters.com/en) › [jangirrishabh](https://repo.masters-masters.com/en/owners/jangirrishabh) › [toyCarIRL](https://repo.masters-masters.com/en/repos/jangirrishabh/toyCarIRL)

jangirrishabh/toyCarIRL has 177 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of Inverse Reinforcement Learning Algorithm on a toy car…

| Field | Value |
| --- | --- |
| Owner | [jangirrishabh](https://repo.masters-masters.com/en/owners/jangirrishabh) |
| Stars | 177 |
| Forks | 45 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2016 |
| Topics | inverse-reinforcement-learning, apprenticeship-learning, pymunk, pygame, reinforcement-learning, robotics, learning-from-demonstration, artificial-intelligence, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jangirrishabh/toyCarIRL](https://github.com/jangirrishabh/toyCarIRL) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
