Fetching the paper…
Reading the bibliography…
Team adaptation to new cooperative tasks is a hallmark of human intelligence, which has yet to be fully realized in learning agents.
Multi-agent reinforcement learning: Independent vs. cooperative agents
Tan, M · 1993
Earlier work this paper cites.
Numerics of gram-schmidt orthogonalization
Björck, Å · 1994
Earlier work this paper cites.
Learning multi-agent state space representations
Hauwere, Y. D., Vrancx, P., and Nowé, A · 2010
Earlier work this paper cites.
Learning to communicate with deep multi-agent reinforcement learning
Foerster, J., Assael, I. A., de Freitas, N., and Whiteson, S · 2016
Earlier work this paper cites.
A concise introduction to decentralized POMDPs
Oliehoek, F. A., Amato, C., et al · 2016
Earlier work this paper cites.
Multi-agent actor-critic for mixed cooperative-competitive environments
Lowe, R., Wu, Y., Tamar, A., Harb, J., Abbeel, O. P., and Mordatch, I · 2017
Earlier work this paper cites.
Learning policy representations in multiagent systems
Grover, A., Al-Shedivat, M., Gupta, J. K., Burda, Y., and Edwards, H · 2018
Earlier work this paper cites.
Learning attentional communication for multi-agent cooperation
Jiang, J. and Lu, Z · 2018
Earlier work this paper cites.
QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning
Rashid, T., Samvelyan, M., Witt, C. S., Farquhar, G., Foerster, J., and Whiteson, S · 2018
Cited alongside, same era.
Graph convolutional reinforcement learning
Jiang, J., Dun, C., Huang, T., and Lu, Z · 2019
Cited alongside, same era.
Evolutionary population curriculum for scaling multi-agent reinforcement learning
Long, Q., Zhou, Z., Gupta, A., Fang, F., Wu, Y., and Wang, X · 2019
Cited alongside, same era.
Learning to teach in cooperative multiagent reinforcement learning
Omidshafiei, S., Kim, D., Liu, M., Tesauro, G., Riemer, M., Amato, C., Campbell, M., and How, J. P · 2019
Cited alongside, same era.
The StarCraft multi-agent challenge
Samvelyan, M., Rashid, T., de Witt, C. S., Farquhar, G., Nardelli, N., Rudner, T. G., Hung, C.-M., Torr, P. H., Foerster, J., and Whiteson, S · 2019
Cited alongside, same era.
Learning latent representations to influence multi-agent interaction
Xie, A., Losey, D. P., Tolsma, R., Finn, C., and Sadigh, D · 2020
Later among the works it cites.
Linda: Multi-agent local information decomposition for awareness of teammates
Cao, J., Yuan, L., Wang, J., Zhang, S., Zhang, C., Yu, Y., and Zhan, D.-C · 2021
Later among the works it cites.
Updet: Universal multi-agent reinforcement learning via policy decoupling with transformers
Hu, S., Zhu, F., Chang, X., and Liang, X · 2021
Later among the works it cites.
Transfer learning for multiagent reinforcement learning systems
Silva, F. L. d. and Costa, A. H. R · 2021
Later among the works it cites.
An efficient transfer learning framework for multiagent reinforcement learning
Yang, T., Wang, W., Tang, H., Hao, J., Meng, Z., Mao, H., Li, D., Liu, W., Chen, Y., Hu, Y., et al · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Policy distillation and value matching in multiagent reinforcement learning
Wadhwania, S., Kim, D., Omidshafiei, S., and How, J. P · 2019
Cited alongside, same era.
Transfer learning in deep reinforcement learning: A survey
Zhu, Z., Lin, K., and Zhou, J · 2019
Cited alongside, same era.
Learning transferable cooperative behavior in multi-agent teams
Agarwal, A., Kumar, S., Sycara, K., and Lewis, M · 2020
Cited alongside, same era.
QPLEX: Duplex dueling multi-agent Q-learning
Wang, J., Ren, Z., Liu, T., Yu, Y., and Zhang, C
Cited in the paper.
ROMA: Multi-agent reinforcement learning with emergent roles
Wang, T., Dong, H., Lesser, V., and Zhang, C
Cited in the paper.
Learning nearly decomposable value functions with communication minimization
Wang, T., Wang, J., Zheng, C., and Zhang, C
Cited in the paper.
RODE: Learning roles to decompose multi-agent tasks
Wang, T., Gupta, T., Mahajan, A., Peng, B., Whiteson, S., and Zhang, C
Cited in the paper.
Zhang, S., Shen, L., and Han, L · 2021
Later among the works it cites.
Cooperative multi-agent transfer learning with level-adaptive credit assignment
Zhou, T., Zhang, F., Shao, K., Li, K., Huang, W., Luo, J., Wang, W., Yang, Y., Mao, H., Wang, B., et al · 2021
Later among the works it cites.