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I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
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"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️
Safe Interval Path Planning with Intervals Projection (SIPP-IP) - a SIPP-based planner capable of handling non-instantaneous accelerations/decelerations of an agent (kinodynamic constraints).
offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.
codes and reports for NLP lesson
Python implementation of a bunch of multi-robot path-planning algorithms.
Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).
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