Published inAnalytics VidhyaVector-based navigation using grid-like representations in artificial agentsMotivationApr 30, 2021Apr 30, 2021
Published inAnalytics VidhyaTraining Larger Networks for Deep Reinforcement LearningMar 27, 2021Mar 27, 2021
Published inAnalytics VidhyaDeep Reinforcement Learning and Representation LearningCan Increasing Input Dimensionality Improve Deep Reinforcement Learning?Feb 28, 2021Feb 28, 2021
Published inAnalytics VidhyaRandomized Ensembled Double Q-Learning: Learning Fast Without a ModelMotivationJan 30, 2021Jan 30, 2021
Published inAnalytics 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…Dec 30, 2020Dec 30, 2020
Published inAnalytics 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…Nov 7, 2020Nov 7, 2020
Published inAnalytics 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…Oct 17, 2020Oct 17, 2020
Published inAnalytics VidhyaAdvanced Exploration: Curiosity-driven ExplorationThis article is part of a series about advanced exploration strategies in RL:Sep 10, 2020Sep 10, 2020
Published inAnalytics 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…Aug 30, 20202Aug 30, 20202
Published inAnalytics VidhyaDistributional Reinforcement Learning — Part 1 (C51 and QR-DQN)MotivationAug 20, 20203Aug 20, 20203
