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Research Engineer at Meta. PhD from École Polytechnique, my thesis topic was "Simulating Crowds with Reinforcement Learning". In the past I was at University of Warsaw, KTH Royal Institute of Technology, and Aalto University.

In my free time, I'm the maintainer of Gymnasium (the official continuation of OpenAI Gym), sometimes reviewing other people's bugs, sometimes adding my own bugs... I mean, features. Sometimes I also help with PettingZoo, SuperSuit and other projects in the Farama Foundation.

My two main personal projects are Coltra and CrowdAI, which both form the core of my PhD research. Coltra is a somewhat general DRL library, designed to work seamlessly with multiagent environments and complex observation spaces. CrowdAI is a crowd simulation engine built on top of Unity ML-Agents in which I animate my crowds.

If you're interested in collaborating/hiring me/something of that sort, that might be a bit tricky at the moment. I'm open to contributions to Coltra, and ready to make it more community-driven, after a bit of extra code cleanup. Might be up for some freelancing, consulting and the like. And open-source contributions -- depending on my bandwidth. But if we already talked (e.g. on the RL Discord), chances are, I'll be up to help you with whatever you need.

Erdős number <= 4

Ariel Kwiatkowski's Projects

rl_robotics icon rl_robotics

Code testing reinforcement learning algorithms on robotics problems, for the KTH II2202 course

shimmy icon shimmy

An API conversion tool for popular external reinforcement learning environments

simulations icon simulations

Implementations of the exercises from the "Computer Simulations in Physics" at the University of Warsaw

sklearn-modelling icon sklearn-modelling

Predictive modelling of the Adult Data Set (https://archive.ics.uci.edu/ml/datasets/adult)

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3 icon stable-baselines3

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

sumo-rl icon sumo-rl

An interface for Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and RLlib.

supersuit icon supersuit

Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments

tinygrad icon tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

trl icon trl

Train transformer language models with reinforcement learning.

udacity-collaboration-ppo icon udacity-collaboration-ppo

My implementation of the final project in the Udacity DRL Nanodegree, about Multiagent Reinforcement Learning

universe icon universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

yazabi-nlp-skilltest icon yazabi-nlp-skilltest

Implementation of the SharpestMinds NLP skilltest, aka IMDB classification using either LSA, Convnets or recurrent neural nets

yazabi-xgb-skilltest icon yazabi-xgb-skilltest

Using XGBoost to classify human breast tumors. Really just a simple program showing how to use XGB.

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