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Multi-Agent Reinforcement Learning (MARL) has achieved significant success in large-scale AI systems and big-data applications such as smart grids, surveillance, etc.
Asynchronous methods for deep reinforcement learning
Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K. (2016) · 1937
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Stochastic games
Shapley, L. S. (1953) · 1953
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Reinforcement learning: A survey
Kaelbling, L. P., Littman, M. L., and Moore, A. W. (1996) · 1996
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Multi-agent reinforcement learning for networked system control
Chu, T., Chinchali, S., and Katti, S. (2020) · 2004
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Parallel monte carlo tree search on gpu
Rocki, K. and Suda, R. (2011) · 2011
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Continuous control with deep reinforcement learning
Lillicrap, T. P., Hunt, J. J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., and Wierstra, D. (2015) · 2015
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Multi-agent actor-critic for mixed cooperative-competitive environments
Lowe, R., Wu, Y. I., Tamar, A., Harb, J., Pieter Abbeel, O., and Mordatch, I. (2017) · 2017
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Graph convolutional reinforcement learning
Jiang, J., Dun, C., Huang, T., and Lu, Z. (2018) · 2018
Cited alongside, same era.
Rllib: Abstractions for distributed reinforcement learning
Liang, E., Liaw, R., Nishihara, R., Moritz, P., Fox, R., Goldberg, K., Gonzalez, J., Jordan, M., and Stoica, I. (2018) · 2018
Cited alongside, same era.
Fa3c: Fpga-accelerated deep reinforcement learning
Cho, H., Oh, P., Park, J., Jung, W., and Lee, J. (2019) · 2019
Cited alongside, same era.
Methods of exercising the surveillance of criminal prosecution
Ivan, M.-C. and Ivan, G. (2020) · 2020
Cited alongside, same era.
How to efficiently train your ai agent? characterizing and evaluating deep reinforcement learning on heterogeneous platforms
Meng, Y., Yang, Y., Kuppannagari, S., Kannan, R., and Prasanna, V. (2020) · 2020
Cited alongside, same era.
Tom2c: Target-oriented multi-agent communication and cooperation with theory of mind
Wang, Y., Zhong, F., Xu, J., and Wang, Y. (2021) · 2021
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Parallel actors and learners: A framework for generating scalable rl implementations
Zhang, C., Kuppannagari, S. R., and Prasanna, V. K. (2021) · 2021
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Marl-based cooperative multi-agv control in warehouse systems
Choi, H.-B., Kim, J.-B., Han, Y.-H., Oh, S.-W., and Kim, K. (2022) · 2022
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Model-based multi-agent reinforcement learning: Recent progress and prospects
Wang, X., Zhang, Z., and Zhang, W. (2022) · 2022
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A framework for mapping drl algorithms with prioritized replay buffer onto heterogeneous platforms
Zhang, C., Meng, Y., and Prasanna, V. (2023) · 2023
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Communication in multi-agent reinforcement learning: Intention sharing
Kim, W., Park, J., and Sung, Y. (2021) · 2021
Cited alongside, same era.
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Ppoaccel: A high-throughput acceleration framework for proximal policy optimization
Meng, Y., Kuppannagari, S., Kannan, R., and Prasanna, V. (2021) · 2078
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