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Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)., and . CoRR, (2020)Learning General World Models in a Handful of Reward-Free Deployments., , , , , , , and . NeurIPS, (2022)An Overview of Gaussian process Regression for Volatility Forecasting., , and . ICAIIC, page 681-686. IEEE, (2020)Thresholded ConvNet ensembles: neural networks for technical forecasting., and . Neural Comput. Appl., 32 (18): 15249-15262 (2020)Portfolio optimization for cointelated pairs: SDEs vs Machine learning., , , and . Algorithmic Finance, 8 (3-4): 101-125 (2020)On Optimism in Model-Based Reinforcement Learning., , , , and . CoRR, (2020)Towards tractable optimism in model-based reinforcement learning., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1413-1423. AUAI Press, (2021)A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback., and . Comput. J., 64 (12): 1801-1813 (2021)Humanoid Robot Gait Generator: Foot Steps Calculation for Trajectory Following., , , , , and . TAROS, volume 8717 of Lecture Notes in Computer Science, page 251-262. Springer, (2014)VIGN: Variational Integrator Graph Networks., and . CoRR, (2020)