A Reinforcement Learning Approach To Dynamic Replication And HedgingAlexander Fleiss·FollowSep 8, 2021--ShareA Reinforcement Learning Approach To Dynamic Replication And Hedging (rebellionresearch.com)
Alexander FleissNowcasting, Deep Learning Vs Machine Learning, ESG & The Fed with Johns Hopkins’ Sudip Gupta —…Nowcasting, Deep Learning Vs Machine Learning, ESG & The Fed with Johns Hopkins’ Sudip Gupta — YouTube1 min read·Jan 20, 2022--
Alexander FleissHackers For Hire : Are Hackers for Hire the Future of Global Terrorism?Hackers For Hire : Are Hackers for Hire the Future of Global Terrorism? — (rebellionresearch.com)1 min read·Sep 16, 2021--
Alexander FleissEstimating Covariances For Use In Maximizing A Utility FunctionEstimating Covariances For Use In Maximizing A Utility Function (rebellionresearch.com)1 min read·Feb 18--
Alexander FleissBrazil & Artificial IntelligenceWith the advances in computing capabilities and data management technologies over the last decade, the role of artificial intelligence is…1 min read·Feb 10, 2020--
BAHADIR ARABACIThe reward hypothesisIn reinforcement learning, the learning process typically follows a loop that generates a sequence of state-action-reward-next state…2 min read·May 31--
Furkan AyıkUtilizing Deep Reinforcement Learning in Control: Unleashing the Power of Intelligent SystemsDeep Reinforcement Learning (DRL) combines deep learning and reinforcement learning to create intelligent systems. DRL has revolutionized…8 min read·Aug 19--1
Abdurahman HussainMadness of Randomness in the world of Markov decision process!! #MDP sate,action and reward.Markov decision process (MDP) is a mathematical framework that provides a formal way to model decision-making in situations where outcomes…4 min read·May 9--1
Damian GilinTowards Data ScienceMastering Customer Segmentation with LLMUnlock advanced customer segmentation techniques using LLMs, and improve your clustering models with advanced techniques23 min read·Sep 26--21
Mehul JainReinforcement Learning: Part 7: Dyna AlgorithmIn the previous blog, we saw that we can get the optimal policy just by updating the values using the next state and rewards. It doesn’t…4 min read·Jul 11--
Miryam ChenPredicting Stock Prices with Machine LearningIn the world of finance, predicting stock prices has always been a challenge that captures the imagination of investors, researchers, and…8 min read·Aug 16--7
