Sacha Chernyavskiy's repositories
UnityPeekaboo
Unity ML-Agents based multi-agent environment for goal conditioned tasks
alexunderch.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
cfrx
cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.
deep-rl-class
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
DiffusionModelsTryOut
Some ablations on diffusion models to better understand their principles
dreamerv2
Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.
JaxCQL
Conservative Q learning in Jax
JaxMARL
Multi-Agent Reinforcement Learning with JAX
mamba
This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".
mcts-for-kids
A mcts-based modular lib to maintain some projects
minimax
Efficient baselines for autocurricula in JAX.
mjctrl
Single-file pedagogical implementations of robotics controllers for MuJoCo.
ml-agents-patch
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
MuJoCo-Tutorial
Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open sourced in May 2022. Feel free to contribute. Show your support by ✨this repository.
pax
Scalable Opponent Shaping Experiments in JAX
pogema
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
PufferLib
Simplifying reinforcement learning for complex game environments
serl
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
xland-minigrid
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️