Lists (6)
Stars
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
A high-capacity ride-sharing simulator calibrated by real request datasets and road netwoeks
AI agents running research on single-GPU nanochat training automatically
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Code for Posterior Sampling for Deep Reinforcement Learning, ICML 2023
A project to assess the costs of flexible vehicle routing strategies
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Paper list of Reinforcement Learning (RL) applied on transportation
An educational resource to help anyone learn deep reinforcement learning.
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
A curated list of Diffusion Model in RL resources (continually updated)
A final sanity checklist to help your CS paper get accepted, not desk rejected.
Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Meal Delivery Routing Problem Test Instance Library
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide