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Cooperative multi-agent reinforcement learning (MARL) has made substantial strides in addressing the distributed decision-making challenges.
Reasoning about Hypothetical Agent Behaviours and their Parameters
Albrecht, S. V.; and Stone, P. 2019 · 1906
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Google Research Football: A Novel Reinforcement Learning Environment
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Stochastic Games*
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Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents
Tan, M. 1997 · 1997
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Roma: Multi-agent reinforcement learning with emergent roles
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Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Papoudakis, G.; Christianos, F.; Schäfer, L.; and Albrecht, S. V. 2021 · 2006
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Why Global Performance is a Poor Metric for Verifying Convergence of Multi-agent Learning
Abdallah, S. 2009 · 2009
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Protecting against evaluation overfitting in empirical reinforcement learning
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Albrecht, S. V.; and Ramamoorthy, S. 2015 · 2015
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Value-Decomposition Networks For Cooperative Multi-Agent Learning
Sunehag, P.; Lever, G.; Gruslys, A.; Czarnecki, W. M.; Zambaldi, V.; Jaderberg, M.; Lanctot, M.; Sonnerat, N.; Leibo, J. Z.; Tuyls, K.; and Graepel, T. 2017 · 2017
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Cooperative multi-agent reinforcement learning models (CMRLM) for intelligent traffic control
Vidhate, D. A.; and Kulkarni, P. 2017 · 2017
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Counterfactual multi-agent policy gradients
Foerster, J.; Farquhar, G.; Afouras, T.; Nardelli, N.; and Whiteson, S. 2018 · 2018
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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
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Maven: Multi-agent variational exploration
Mahajan, A.; Rashid, T.; Samvelyan, M.; and Whiteson, S. 2019 · 2019
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The StarCraft Multi-Agent Challenge
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Arrieta, A. B.; Díaz-Rodríguez, N.; Del Ser, J.; Bennetot, A.; Tabik, S.; Barbado, A.; García, S.; Gil-López, S.; Molina, D.; Benjamins, R.; et al. 2020 · 2020
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Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Christianos, F.; Schäfer, L.; and Albrecht, S. 2020 · 2020
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VAST: Value Function Factorization with Variable Agent Sub-Teams
Phan, T.; Ritz, F.; Belzner, L.; Altmann, P.; Gabor, T.; and Linnhoff-Popien, C. 2021 · 2021
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Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning
Scheikl, P. M.; Gyenes, B.; Davitashvili, T.; Younis, R.; Schulze, A.; Müller-Stich, B. P.; Neumann, G.; Wagner, M.; and Mathis-Ullrich, F. 2021 · 2021
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Deep Reinforcement Learning at the Edge of the Statistical Precipice
Agarwal, R.; Schwarzer, M.; Castro, P. S.; Courville, A.; and Bellemare, M. G. 2022 · 2022
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Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
Gorsane, R.; Mahjoub, O.; de Kock, R.; Dubb, R.; Singh, S.; and Pretorius, A. 2022 · 2022
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Collective explainable AI: Explaining cooperative strategies and agent contribution in multiagent reinforcement learning with shapley values
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Explainable reinforcement learning: A survey
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Smart Grid for Industry Using Multi-Agent Reinforcement Learning
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Taxonomy of reinforcement learning algorithms
Zhang, H.; and Yu, T. 2020 · 2020
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Multi-agent reinforcement learning: A review of challenges and applications
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Multi-agent deep reinforcement learning: a survey
Gronauer, S.; and Diepold, K. 2021 · 2021
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Explainability in deep reinforcement learning
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Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
Annie, W.; Thomas, B.; Anna, V.; et al. ????
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Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
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LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
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Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
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Explainable deep reinforcement learning: state of the art and challenges
Vouros, G. A. 2022 · 2022
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The surprising effectiveness of ppo in cooperative multi-agent games
Yu, C.; Velu, A.; Vinitsky, E.; Gao, J.; Wang, Y.; Bayen, A.; and Wu, Y. 2022 · 2022
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Explainable reinforcement learning for broad-xai: a conceptual framework and survey
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