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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

. (2015)cite arxiv:1511.06390.

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Learning Temporal Coherent Features through Life-Time Sparsity., and . ICONIP (1), volume 7663 of Lecture Notes in Computer Science, page 347-356. Springer, (2012)V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2020)Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup., , , , , , , , , and . Robotics: Science and Systems, (2019)Learning Dexterous Manipulation from Suboptimal Experts., , , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 915-934. PMLR, (2020)On Multi-objective Policy Optimization as a Tool for Reinforcement Learning., , , , , , , , , and 4 other author(s). CoRR, (2021)Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters., , and . MetaSel@ECAI, volume 1201 of CEUR Workshop Proceedings, page 3-10. CEUR-WS.org, (2014)Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks. (2015)cite arxiv:1511.06390.Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images., , , and . NIPS, page 2746-2754. (2015)Evaluating Model-Based Planning and Planner Amortization for Continuous Control., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2022)Graph Networks as Learnable Physics Engines for Inference and Control., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4467-4476. PMLR, (2018)