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Welcome, I'm Waris Radji ✨!

About me

Hi! I'm Waris Radji and I'm an engineering student with a strong interest in artificial intelligence research. My favorite programming language is Scala, and I'm actively involved in the open-source community around this language.

I'm particularly passionate about bio-inspired algorithms, especially those related to evolutionary computation. I find these approaches to problem-solving to be both fascinating and effective.

Currently, my focus is on reinforcement learning, and I'm actively seeking out projects and opportunities to contribute in this area. If you have any ideas or opportunities for collaboration, don't hesitate to reach out to me. I'm always eager to learn and make a positive impact through my work. Thank you for considering me!

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Waris Radji's Projects

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

automatty icon automatty

A lightweight library that implements automata with the Scala3 compiler (Dotty).

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

dotty icon dotty

The Scala 3 compiler, also known as Dotty.

dqn_zoo icon dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

ediayn-pytorch icon ediayn-pytorch

Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.

flatten icon flatten

Examples and exercises with monad transformers

gymnasium icon gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

imed-playground icon imed-playground

Some implementation of Bandits and RL algorithms related to IMED (Honda & Takemura, 2015)

imed-rl icon imed-rl

Source code for the paper "IMED-RL: Regret optimal learning of ergodic Markov decision processes" - NeurIPS 2022

jax-tqdm icon jax-tqdm

Add a tqdm progress bar to your JAX scans and loops.

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