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The study of behavioral diversity in Multi-Agent Reinforcement Learning (MARL) is a nascent yet promising field.
Stochastic games
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The value of life: Biological diversity and human society
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Hierarchic social entropy: An information theoretic measure of robot group diversity
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The complexity of decentralized control of markov decision processes
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Statistical metrics
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Pid control system analysis, design, and technology
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Beyond species: functional diversity and the maintenance of ecological processes and services
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Collective intelligence and group performance
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CVXPY: A Python-embedded modeling language for convex optimization
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Multi-agent actor-critic for mixed cooperative-competitive environments
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Human-level performance in 3d multiplayer games with population-based reinforcement learning
Jaderberg, M., Czarnecki, W. M., Dunning, I., Marris, L., Lever, G., Castaneda, A. G., Beattie, C., Rabinowitz, N. C., Morcos, A. S., Ruderman, A., et al · 2019
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Social influence as intrinsic motivation for multi-agent deep reinforcement learning
Jaques, N., Lazaridou, A., Hughes, E., Gulcehre, C., Ortega, P., Strouse, D., Leibo, J. Z., and De Freitas, N · 2019
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Mahajan, A., Rashid, T., Samvelyan, M., and Whiteson, S · 2019
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Grandmaster level in starcraft ii using multi-agent reinforcement learning
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Influence-based multi-agent exploration
Wang, T., Wang, J., Wu, Y., and Zhang, C · 2019
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Hydra - a framework for elegantly configuring complex applications
Yadan, O · 2019
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Is independent learning all you need in the starcraft multi-agent challenge?
Modelling behavioural diversity for learning in open-ended games
Perez-Nieves, N., Yang, Y., Slumbers, O., Mguni, D. H., Wen, Y., and Wang, J · 2021
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Informative policy representations in multi-agent reinforcement learning via joint-action distributions
Yu, Y., Jiang, H., and Lu, Z · 2021
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Vmas: A vectorized multi-agent simulator for collective robot learning
Bettini, M., Kortvelesy, R., Blumenkamp, J., and Prorok, A · 2022
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Revisiting some common practices in cooperative multi-agent reinforcement learning
Fu, W., Yu, C., Xu, Z., Yang, J., and Wu, Y · 2022
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Policy diagnosis via measuring role diversity in cooperative multi-agent rl
Hu, S., Xie, C., Liang, X., and Chang, X · 2022
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A unified diversity measure for multiagent reinforcement learning
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Wang, T., Dong, H., Lesser, V., and Zhang, C · 2020
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Scaling multi-agent reinforcement learning with selective parameter sharing
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Towards unifying behavioral and response diversity for open-ended learning in zero-sum games
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Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
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Generating diverse cooperative agents by learning incompatible policies
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Fixed integral neural networks
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Quality-similar diversity via population based reinforcement learning
Wu, S., Yao, J., Fu, H., Tian, Y., Qian, C., Yang, Y., FU, Q., and Wei, Y · 2023
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Torchrl: A data-driven decision-making library for pytorch
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