Implementation of GRPO an P3O for Neural Combinatorial Optimization using RL4CO

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Scalable drone simulation using JAX.

Official implementation of "Geometric Action Model for Robot Policy Learning"

Markov-Dubins Problem: an Optimal Control Approach. Optimal solutions are found by means of Pontryagin Maximum principle; the rest of the work is focused on the characterization of singular and non…

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chem…

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

streaming deep reinforcement learning but 4x faster with jax!

A Minimal and Elegant Framework & Tutorial for Real-Time Interactive World Models

GPU accelerated decision optimization

Agentic RL on Any Harness at Scale

A Minimalist, Batteries-included Repository for Advancing World Model Science.

Warehouse Picking Strategies Library

new flock experiments

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

GPU-accelerated robotics (CUDA + C++)

Implementation of Model Tensor Planning in JAX, TMLR 2025 & ICLR 2026.

Graph Attention Network for Mission Replanning

58 implementations of synthetic learning problems from Jürgen Schmidhuber's papers (1989-2025). Pure numpy, laptop-runnable, paper-comparison metrics per stub. Algorithmic-lineage companion to hint…

An offline visualization tool for analysing solutions to multi-robot coordination problems.

[RSS 2026] Learning Point Cloud Geometry as a Statistical Manifold: Theory and Practice

Refining Compositional Diffusion for Reliable Long-Horizon Planning

A clean and fast Vehicle Routing Problem solver — powered by Genetic Algorithms

A collection of 130+ specialized Codex subagents covering a wide range of development use cases.