The generative adversarial imitation learning (GAIL) shows the ability to find reward functions to explain expert players' behaviors in some low-dimensional ...
The author discusses how technology's impact on learning and pedagogy—distance learning—presents new challenges to the institutional researcher. The researcher ...
Our approach successfully imitates given players in Super Mario Bros. To our knowledge, the results are the first to have successful imitations in complex ...
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Our method can be used to imitate complex behaviors in high-dimensional environments with multiple cooperative or competing agents. 1 Introduction.
Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning. 2020 IEEE Conference on Games (CoG). Wanxiang Li; ,; Chu-Hsuan Hsueh ...
Jun 10, 2016 · We show that a certain instantiation of our framework draws an analogy between imitation learning and generative adversarial networks, from ...
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Our method can be used to imitate complex behaviors in high-dimensional environments with multiple cooperative or competitive agents. Reply Type: all. Select ...
We propose a new general framework for directly extracting a policy from data as if it were obtained by reinforcement learning following inverse reinforcement ...
Jul 26, 2018 · Our method can be used to imitate complex behaviors in high-dimensional environments with multiple cooperative or competing agents. Subjects: ...
Our method can be used to imitate complex behaviors in high- dimensional environments with multiple cooperative or competitive agents. 1 MARKOV GAMES AND ...