most citedBackpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2022

Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP

Yiwei Fu, Dheeraj S. K. Kapilavai, Elliot Way

Factored decentralized Markov decision process (Dec-MDP) is a framework for modeling sequential decision making problems in multi-agent systems. In this paper, we formalize the lea…

cs.LG2022★ 1 cited

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning

Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu +1

We introduce Backpropagation Through Time and Space (BPTTS), a method for training a recurrent spatio-temporal neural network, that is used in a homogeneous multi-agent reinforceme…