Georegistry + Data Collection + Microplanning

Agent S: an open agentic framework that uses computers like a human

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)

Next-generation scheduling problem solver based on GNNs and Reinforcement Learning

Online and offline planning for fast nonprehensile object transportation with a mobile manipulator.

LogiCity@NeurIPS'24, D&B track. A multi-agent inductive learning environment for "abstractions".

A versatile simulation and optimization platform for power-system planning and operations.

Part of the Vital Agent Ecosystem

Educational Python library for manipulator motion planning

A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.

JAX compilation of RDDL description files, and a differentiable planner in JAX.

Simplifying the autonomous vehicle development process.

Hosts domain and instance RDDL files, covering problems from a wide range of disciplines, integration with the pyRDDLGym ecosystem.

This is for EMNLP 2024 Paper: AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction

Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

Path planning and control algorithms for a differential drive robot using ROS2

ACPBench: Reasoning about Action, Change, and Planning

OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking