A Python library for multi-agent planning and pathfinding: CBS, PIBT, LaCAM, LNS, space-time A*, plus decentralized NMPC, velocity obstacles and swarm behaviors
Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).
Compound model panel for pi: parallel model calls, then one synthesis response.
A python package for planning surveys over large areas using one or more UAV (Unpersoned Aerial Vehicle).
Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution (ICAPS-22; AIJ-23)
AI planning & reasoning library for Rust
Tetromino-battler AI using parallel MCTS, bitboards and message passing architecture.
Solver and library for POSGs.
A sophisticated Multi-Agent Blackboard Architecture built with LangGraph. Features dynamic agent collaboration, shared memory, intelligent controller, and an interactive chat system for real-time updates and queries.
The AIS planner source code + benchmarks
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