PinnedPublished inTDS ArchiveDeep Learning Optimization Theory — IntroductionUnderstanding the thoery of optimization in deep learning is crucial to enable progress. This post provides an introduction to it.Oct 26, 2021Oct 26, 2021
Published inTDS ArchiveNeural-Implicit Representations for 3D Shapes and ScenesIn recent years there is an explosion of neural implicit representations that helps solve computer graphic tasks. In this post, I focus on…Jun 26, 2022Jun 26, 2022
From A* to MARL (Part 5— Multi-Agent Reinforcement Learning)An intuitive high-level overview of the connection between AI planning theory to current Reinforcement Learning research for multi-agent…Aug 20, 2021Aug 20, 2021
From A* to MARL (Part 4 —Planning Under Uncertainty & Partial Observability)An intuitive high-level overview of the connection between AI planning theory to current Reinforcement Learning research for multi-agent…Aug 20, 2021Aug 20, 2021
Published inTDS ArchiveFrom A* to MARL (Part 3 — Planning Under Uncertainty)An intuitive high-level overview of the connection between AI planning theory to current Reinforcement Learning research for multi-agent…Aug 20, 2021Aug 20, 2021
Published inTDS ArchiveFrom A* to MARL (Part 2— AI Planning)An intuitive high-level overview of the connection between AI planning theory to current Reinforcement Learning research for multi-agent…Aug 20, 2021Aug 20, 2021
Published inTDS ArchiveFrom A* to MARL (Part 1 — MAPF)An intuitive high-level overview of the connection between AI planning theory to current Reinforcement Learning research for multi-agent…Aug 20, 20212Aug 20, 20212
