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Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)., и . CoRR, (2020)Learning General World Models in a Handful of Reward-Free Deployments., , , , , , , и . NeurIPS, (2022)An Overview of Gaussian process Regression for Volatility Forecasting., , и . ICAIIC, стр. 681-686. IEEE, (2020)On Optimism in Model-Based Reinforcement Learning., , , , и . CoRR, (2020)A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback., и . Comput. J., 64 (12): 1801-1813 (2021)Portfolio optimization for cointelated pairs: SDEs vs Machine learning., , , и . Algorithmic Finance, 8 (3-4): 101-125 (2020)Towards tractable optimism in model-based reinforcement learning., , , , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 1413-1423. AUAI Press, (2021)Thresholded ConvNet ensembles: neural networks for technical forecasting., и . Neural Comput. Appl., 32 (18): 15249-15262 (2020)VIGN: Variational Integrator Graph Networks., и . CoRR, (2020)Indian Buffet Neural Networks for Continual Learning., , , и . CoRR, (2019)