RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal,Amrit Singh Bedi,Dinesh Manocha,Aakriti Agrawal,Amrit Singh Bedi,Dinesh Manocha
We present a novel reinforcement learning based algorithm for multi-robot task allocation problem in ware-house environments. We formulate it as a Markov Decision Process and solve via a novel deep multi-agent reinforcement learning method (called RTAW) with attention inspired policy architecture. Hence, our proposed policy network uses global embeddings that are independent of the number of robot...
