MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning

Author:

Nipu Ayesha Siddika1,Liu Siming1,Harris Anthony1

Affiliation:

1. Missouri State University,Department of Computer Science,Springfield,U.S.

Publisher

IEEE

Reference11 articles.

1. Comparing heuristic search methods for finding effective group behaviors in rts game;liu;2013 IEEE Congress on Evolutionary Computation,2013

2. Massively parallel methods for deep reinforcement learning;nair;arXiv preprint arXiv 1507 04296,2015

3. Multi-Agent bidirectionally-coordinated nets: emergence of human-level coordination in learning to play StarCraft combat games;peng;arXiv preprint arXiv 1703 10593,2017

4. Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning;rashid;International Conference on Machine Learning,2018

5. Asynchronous methods for deep reinforcement learning;mnih;International Conference on Machine Learning,2016

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