[EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.
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Updated
Sep 18, 2024 - Python
[EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)
Multi-Robot Multi-Task Allocation Simulations
Recursive task allocation approach to foraging in swarm robotics. ARGoS and ROS.
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
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)
Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.
This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).
Stochastic Conflict-Based Allocation
Animal behavior based on agents simulation
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