main webpage W Topic Mathematics arXiv (Cornell University) Partner Approximating Learners (PAL): Simulation-Accelerated Learning\n with Explicit Partner Modeling in Multi-Agent Domains 2019 Mixed cooperative-competitive control scenarios such as human-machine\ninteraction with individual goals of the interacting partners are very\nchallenging for reinforcement learning agents. In order to contribute towards\nintuitive human-machine collaboration… Article Open Mathematics Open Article Page

Mathematics

Area of knowledge Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics with the major subdisciplines of number theory, algebra, geometry, and analysis, respectively. There is no general consensus among mathematicians about a common definition for their academic discipline. Most mathematical activity involves the discovery of properties of abstract objects and the use of pure reason to prove them. These objects consist of either abstractions from nature or—in modern mathematics—entities that are stipulated to have certain properties, called axioms. Critical Symbolic Virtual Narrative Open Mathematics Open Article Page

Exploring foci of: arXiv (Cornell University) Partner Approximating Learners (PAL): Simulation-Accelerated Learning\n with Explicit Partner Modeling in Multi-Agent Domains 2019 Mixed cooperative-competitive control scenarios such as human-machine\ninteraction with individual goals of the interacting partners are very\nchallenging for reinforcement learning agents. In order to contribute towards\nintuitive human-machine collaboration, we focus on problems in the continuous\nstate and control domain where no explicit communication is considered and the\nagents do not know the others' goals or control laws but only sense their\ncontrol inputs retrospectively. Our proposed framework combines… Open Article Page

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Explore Mathematics W Topic Mathematics arXiv (Cornell University) Partner Approximating Learners (PAL): Simulation-Accelerated Learning\n with Explicit Partner Modeling in Multi-Agent Domains 2019 Mixed cooperative-competitive control scenarios such as human-machine\ninteraction with individual goals of the interacting partners are very\nchallenging for reinforcement learning agents. In order to contribute towards\nintuitive human-machine collaboration… Article Critical Symbolic Virtual Narrative Open Mathematics Open Article Page