A curated list of awesome exploration RL resources (continually updated)

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP

Convert PDF to markdown quickly with high accuracy

📦 Quick boilerplate to get you started with TailwindCSS

Implementation of Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning (Kohler, Delfosse, et. al. 2024).

Sequential testing for efficient and reliable comparison of stochastic algorithms.

Formulating Model-based RL Dynamics as a continuous rather then one step prediction

The tiniest of Gaussian Process libraries

Gaussian processes in JAX.

MBRL library in JAX

API to run VirtualHome, a Multi-Agent Household Simulator

Open source collection of Reinforcement Learning Environments.

Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

A simulation of the robot navigation problem in Gymnasium.

Simplifying reinforcement learning for complex game environments

Mastering Diverse Domains through World Models

Deep reinforcement learning library built on top of Neural Network Libraries