Lists (5)
Starred repositories
A list of awesome beginners-friendly projects.
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
an AI algorithm for detecting trash in geolocated images
A Python framework for accelerated simulation, data generation and spatial computing.
Blazingly 🔥 fast 🚀 memory vulnerabilities, written in 100% safe Rust. 🦀
SocialJax: sequential social dilemma environments
A grid world environment for high-level earthworks planning in JAX for RL.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A multi-agent version of the Craftax-Classic environment
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
another pomodoro timer, but with a twist - accountability.
This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …
TensorDict is a pytorch dedicated tensor container.
Creating Agents with Tunable Behaviours using Multi-Objective Deep Reinforcement Learning
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Reinforcement learning for combinatorial optimization over directed graphs
Fast Kolmogorov-Arnold Network in JAX, initial experiments
Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
Standard interface for entity based reinforcement learning environments.
Going on an RL Journey from DQN to Bigger, Better, Faster
Lightweight multi-agent gridworld Gym environment