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Stable Opponent Shaping in Differentiable Games., , , , and . CoRR, (2018)D3C: Reducing the Price of Anarchy in Multi-Agent Learning., , , , , , and . CoRR, (2020)Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games., , , , , and . AAMAS, page 538-547. International Foundation for Autonomous Agents and Multiagent Systems, (2020)A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2548-2556. PMLR, (2021)Information, learning and falsification. CoRR, (2011)On the information-theoretic structure of distributed measurements. DCM, volume 88 of EPTCS, page 28-42. (2011)Re-evaluating Evaluation, , , and . (2018)cite arxiv:1806.02643Comment: NIPS 2018, final version.Estimating integrated information with TMS pulses during wakefulness, sleep, and under anesthesia.. EMBC, page 4717-4720. IEEE, (2011)Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets., , , , and . CoRR, (2020)Learning the Structure of Sum-Product Networks via an SVD-based Algorithm., , and . UAI, page 32-41. AUAI Press, (2015)