tipitaka.org public xml files

OpenClaw-RL: Train any agent simply by talking

PaperBanana: Automating Academic Illustration For AI Scientists

Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.

Reinforcement Learning environments based on the 1993 game Doom

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

A Pragmatic VLA Foundation Model

META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.

Implementation of papers in 100 lines of code.

Anthropic's original performance take-home, now open for you to try!

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

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 curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.

Step3-VL-10B: A compact yet frontier multimodal model achieving SOTA performance at the 10B scale, matching open-source models 10-20x its size.

OpenTinker is an RL-as-a-Service infrastructure for foundation models

This repo contains the Hugging Face Deep Reinforcement Learning Course.

Architecture Diagrams Generator

Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"

AirLab's website source

[CoRL 2025] Neural Robot Dynamics

Combination of Rapidly-Exporing Random Trees (RRT) and Safe Interval Path Planning (SIPP) for high-DOF planning in dynamic environments, i.e. planning a path for a manipulator when moving obstacles…

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Robotics Mathematical modeling and theory with Python (learning through extensive numerical simulations and animations.)

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli

OpenVLThinker: An Early Exploration to Vision-Language Reasoning via Iterative Self-Improvement