Backpropagation and the brain von Lillicrap, Timothy P., Santoro, Adam, Marris, Luke, Akerman, Colin J., Hinton, Geoffrey

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Human-level performance in 3D multiplayer games with population-based reinforcement learning von Jaderberg, Max, Czarnecki, Wojciech M, Dunning, Iain, Marris, Luke, Lever, Guy, Castañeda, Antonio Garcia, Beattie, Charles, Rabinowitz, Neil C, Morcos, Ari S, Ruderman, Avraham, Sonnerat, Nicolas, Green, Tim, Deason, Louise, Leibo, Joel Z, Silver, David, Hassabis, Demis, Kavukcuoglu, Koray, Graepel, Thore

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From motor control to team play in simulated humanoid football von Liu, Siqi, Lever, Guy, Wang, Zhe, Merel, Josh, Eslami, S. M. Ali, Hennes, Daniel, Czarnecki, Wojciech M., Tassa, Yuval, Omidshafiei, Shayegan, Abdolmaleki, Abbas, Siegel, Noah Y., Hasenclever, Leonard, Marris, Luke, Tunyasuvunakool, Saran, Song, H. Francis, Wulfmeier, Markus, Muller, Paul, Haarnoja, Tuomas, Tracey, Brendan, Tuyls, Karl, Graepel, Thore, Heess, Nicolas

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Multiagent Training in N-Player General-Sum Games von Marris, Luke

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Developing, evaluating and scaling learning agents in multi-agent environments von Gemp, Ian, Anthony, Thomas, Bachrach, Yoram, Bhoopchand, Avishkar, Bullard, Kalesha, Connor, Jerome, Dasagi, Vibhavari, De Vylder, Bart, Duéñez-Guzmán, Edgar A., Elie, Romuald, Everett, Richard, Hennes, Daniel, Hughes, Edward, Khan, Mina, Lanctot, Marc, Larson, Kate, Lever, Guy, Liu, Siqi, Marris, Luke, McKee, Kevin R., Muller, Paul, Pérolat, Julien, Strub, Florian, Tacchetti, Andrea, Tarassov, Eugene, Wang, Zhe, Tuyls, Karl

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Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization von Gemp, Ian, Marris, Luke, Piliouras, Georgios

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RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES von MARRIS, Luke Christopher

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Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of $2\times2$ Normal-Form Games von Marris, Luke, Gemp, Ian, Piliouras, Georgios

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Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning von Gemp, Ian, Haupt, Andreas, Marris, Luke, Liu, Siqi, Piliouras, Georgios

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RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES von Marris, Luke Christopher

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NfgTransformer: Equivariant Representation Learning for Normal-form Games von Liu, Siqi, Marris, Luke, Piliouras, Georgios, Gemp, Ian, Heess, Nicolas

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RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES von MARRIS, Luke Christopher

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Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package von Marris, Luke, Gemp, Ian, Liu, Siqi, Leibo, Joel Z, Piliouras, Georgios

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Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games von Liu, Siqi, Lanctot, Marc, Marris, Luke, Heess, Nicolas

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Neural Population Learning beyond Symmetric Zero-sum Games von Liu, Siqi, Marris, Luke, Lanctot, Marc, Piliouras, Georgios, Leibo, Joel Z, Heess, Nicolas

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Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization von Gemp, Ian, Marris, Luke, Piliouras, Georgios

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States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers von Gemp, Ian, Bachrach, Yoram, Lanctot, Marc, Patel, Roma, Dasagi, Vibhavari, Marris, Luke, Piliouras, Georgios, Liu, Siqi, Tuyls, Karl

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Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers von Marris, Luke, Muller, Paul, Lanctot, Marc, Tuyls, Karl, Graepel, Thore

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Evaluating Agents using Social Choice Theory von Lanctot, Marc, Larson, Kate, Bachrach, Yoram, Marris, Luke, Li, Zun, Bhoopchand, Avishkar, Anthony, Thomas, Tanner, Brian, Koop, Anna

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Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers von Marris, Luke, Gemp, Ian, Anthony, Thomas, Tacchetti, Andrea, Liu, Siqi, Tuyls, Karl

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