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Support Vector Learning for Ordinal Regression, , and . In International Conference on Artificial Neural Networks, page 97--102. (1999)Bayes Point Machines., , and . J. Mach. Learn. Res., (2001)A Neural Architecture for Designing Truthful and Efficient Auctions., , , , and . CoRR, (2019)Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems., , , , , , , , and . ALIFE, page 103-110. MIT Press, (2019)Smooth markets: A basic mechanism for organizing gradient-based learners., , , , , , , and . ICLR, OpenReview.net, (2020)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , and 1 other author(s). Science, 362 (6419): 1140--1144 (2018)A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning, , , , , , , and . (2017)cite arxiv:1711.00832Comment: Camera-ready copy of NIPS 2017 paper, including appendix.Bayesian pattern ranking for move prediction in the game of Go., , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 873-880. ACM, (2006)Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, , , , , , , , , and 2 other author(s). (2019)cite arxiv:1911.08265.Game Plan: What AI can do for Football, and What Football can do for AI., , , , , , , , , and 26 other author(s). J. Artif. Intell. Res., (2021)