{"componentChunkName":"component---src-templates-index-template-js","path":"/","result":{"data":{"allMarkdownRemark":{"edges":[{"node":{"fields":{"slug":"/posts/ceq-in-rl","categorySlug":"/category/reinforcement-learning/"},"frontmatter":{"title":"Correlated Q-Learning in Multi-Agent Games","date":"2020-07-26","category":"Reinforcement Learning","description":"Linear Programming + Game Theory = Better Multi-Agent Reinforcement Learning"}}},{"node":{"fields":{"slug":"/posts/dqn-in-rl","categorySlug":"/category/reinforcement-learning/"},"frontmatter":{"title":"Deep Q-Network in Reinforcement Learning","date":"2020-07-02","category":"Reinforcement Learning","description":"Neural Networks combined with Reinforcement Learning for all of the math...."}}},{"node":{"fields":{"slug":"/posts/td-in-rl","categorySlug":"/category/reinforcement-learning/"},"frontmatter":{"title":"Temporal Difference in Reinforcement Learning","date":"2020-06-08","category":"Reinforcement Learning","description":"Exploring Temporal Difference Learning to unify Dynamic Programming and Monte Carlo concepts in Reinforcement Learning"}}},{"node":{"fields":{"slug":"/posts/bayes-portopt","categorySlug":"/category/statistics/"},"frontmatter":{"title":"Bayesian Approach to Portfolio Allocation","date":"2020-04-26","category":"Statistics","description":"Mean Variance Optimization with a Bayesian spin"}}}]}},"pageContext":{"currentPage":0,"postsLimit":5,"postsOffset":0,"prevPagePath":"/","nextPagePath":"/page/1","hasPrevPage":false,"hasNextPage":false}},"staticQueryHashes":["251939775","3942705351","401334301"]}