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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…
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Computer Science

Study of computation

Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).

Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and preventing security vulnerabilities. Computer graphics and computational geometry address the generation of images.

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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…
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Reinforcement Learning
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Machine Learning
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