Sebastian DittertinAnalytics VidhyaVector-based navigation using grid-like representations in artificial agentsMotivation·10 min read·Apr 30, 2021--1--1
Sebastian DittertinAnalytics VidhyaTraining Larger Networks for Deep Reinforcement Learning·8 min read·Mar 27, 2021----
Sebastian DittertinAnalytics VidhyaDeep Reinforcement Learning and Representation LearningCan Increasing Input Dimensionality Improve Deep Reinforcement Learning?·9 min read·Feb 28, 2021----
Sebastian DittertinAnalytics VidhyaRandomized Ensembled Double Q-Learning: Learning Fast Without a ModelMotivation·7 min read·Jan 30, 2021----
Sebastian DittertinAnalytics VidhyaModel-Based Reinforcement Learning: World ModelsThe image of the world around us, which we carry in our head, is just a model. Nobody in his head imagines all the world, government or…·12 min read·Dec 30, 2020----
Sebastian DittertinAnalytics VidhyaD2RL: Deep Dense Architectures in Reinforcement LearningIn this article I want to give a quick presentation of the D2RL paper, applying deep dense architectures of neural networks for Deep…·6 min read·Nov 7, 2020----
Sebastian DittertinAnalytics VidhyaIntroduction to Model-Based Reinforcement LearningIn this article, I want to give an introduction to Model-Based Reinforcement Learning. Talk about the fundamental concept behind MB-RL…·9 min read·Oct 17, 2020----
Sebastian DittertinAnalytics VidhyaAdvanced Exploration: Curiosity-driven ExplorationThis article is part of a series about advanced exploration strategies in RL:·8 min read·Sep 10, 2020----
Sebastian DittertinAnalytics VidhyaDistributional Reinforcement Learning — Part 2 (IQN and FQF)This article is the second part of the series where I want to talk about distributional reinforcement learning. If you haven't read the…·10 min read·Aug 30, 2020--1--1
Sebastian DittertinAnalytics VidhyaDistributional Reinforcement Learning — Part 1 (C51 and QR-DQN)Motivation·6 min read·Aug 20, 2020--3--3