Multi Agent Reinforcement Learning for Dense Path Planning
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Updated
Nov 1, 2020 - Python
Multi Agent Reinforcement Learning for Dense Path Planning
My own implementation of SQLillo game, one of the challenges of HackUPC 2022.
Implementation of the Weapon Task Assignment Problem in a counter-drone scenario involving swarm vs swarm battle.
Project on Simultaneous Task Allocation and Planning Under Uncertainty
Predict the cost of a CMAPD assignment with XGBoost regression
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
Multi-agent scenario with decentralized planning
Python implementation of Dynamic Vehicle Routing (DVR) algorithms
Implementation of Popular Swarm Intelligence Models
Factored Interactive POMDP solver based on symbolic Perseus.
The ProSeCo Planning C++ library
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
Code for the paper "Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss".
Board-and-card games are those which involve higher level of uncertainty as it includes the probability of getting the right card and the moves made by other players. We look to model such games as Markov Games and find an optimal policy through the Minimax – Q algorithm. This will also be a test for the Minimax – Q algorithm to check how it per…
Multi-agent motion planning packages (HDSM method)
Multi Agent Path Finding openAI gym environment
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