A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
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Updated
Sep 6, 2024 - Python
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
Multi-Robot Multi-Task Allocation Simulations
[EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues
Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.
Animal behavior based on agents simulation
multi agent path finding and pickup and delivery (combined task allocation and path finding). work going on precendence constrained task allocation and path finding (PC-TAPF)
Recursive task allocation approach to foraging in swarm robotics. ARGoS and ROS.
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
Stochastic Conflict-Based Allocation
This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).
A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)
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