A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Sep 20, 2024 - Python
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.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
Maze Applied Reinforcement Learning Framework
[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
🚀 A fast safe reinforcement learning library in PyTorch
AI framework for Reinforcement Learning, Automated Planning and Scheduling
Deep Hierarchical Planning from Pixels
Reinforcement Learning framework for Robotics
This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'
[ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"
[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection"
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.
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.
Optimal Bayesian Experiment Design
Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.
A Universal Platform for Training and Evaluation of Mobile Interaction
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