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Reinforcement Learning with Convex Constraints., , , , and . NeurIPS, page 14070-14079. (2019)Arbitrage-Free Combinatorial Market Making via Integer Programming., , , and . EC, page 161-178. ACM, (2016)Constrained episodic reinforcement learning in concave-convex and knapsack settings., , , , , , and . NeurIPS, (2020)PcLast: Discovering Plannable Continuous Latent States., , , , , , , , , and 4 other author(s). ICML, OpenReview.net, (2024)Log-time Prediction Markets for Interval Securities., , , and . AAMAS, page 465-473. ACM, (2021)A tractable combinatorial market maker using constraint generation., , and . EC, page 459-476. ACM, (2012)Maximizing revenue in symmetric resource allocation systems when user utilities exhibit diminishing returns., , , and . AAMAS, page 1165-1166. IFAAMAS, (2011)A maximum entropy approach to species distribution modeling., , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)First-Order Mixed Integer Linear Programming., , and . UAI, page 213-222. AUAI Press, (2009)A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games., and . UAI, page 151-160. AUAI Press, (2009)