A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Sports betting assistant (with interface) which optimizes earnings regarding odds and offers

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Maze Applied Reinforcement Learning Framework

🚀 A fast safe reinforcement learning library in PyTorch

AI framework for Reinforcement Learning, Automated Planning and Scheduling

A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.

[ICML'25] The PyTorch implementation of paper: "AdaWorld: Learning Adaptable World Models with Latent Actions".

This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'

Deep Hierarchical Planning from Pixels

Reinforcement Learning framework for Robotics

[ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"

[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges

Auxiliary code for pulling, loading reinforcement learning models based on DI-engine from the Huggingface Hub, or pushing them onto Huggingface Hub with auto-created model card.

A Universal Platform for Training and Evaluation of Mobile Interaction

[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection"

GenericCDSS is a web-based application, which provides the main dashboard where professionals (e.g, practitioners, nurses) can follow all the patients that are under their responsibility and some details about the state of each one.