PinnedNathan Lambert·Jan 9, 2021Navigating natolambert’s writingYou found me on Medium! I use their great search engine optimization to gather followers across a few modalities.
InTDS ArchivebyNathan Lambert·Nov 4, 2021Boston Dynamics: Studying Athletic IntelligenceThe acrobatic dance videos are flashy, but what are the actual technical breakthroughs?
InTDS ArchivebyNathan Lambert·Nov 2, 2021Reward maximization is not enough for complete intelligenceMulti-agent scenarios make reward maximization a risk. Discussing when, rather than if, we should believe in the Reward Hypothesis.
InTDS ArchivebyNathan Lambert·Oct 31, 2021How all machine learning becomes reinforcement learningI make the case why people iteratively training any model should learn some core concerns of reinforcement learning.
InTDS ArchivebyNathan Lambert·Apr 6, 2021Debugging Deep Model-based Reinforcement Learning SystemsLessons learned from a PhD in a young field.
InTDS ArchivebyNathan Lambert·Jan 22, 2021Robotic Companies 2.0: Horizontal ModularityHow behaving as a digital platform rather than a manufacturer will be the sweet spot for the next generation of robotics companies.
InTDS ArchivebyNathan Lambert·Jan 9, 2021The Ubiquity and Future of Model-based Reinforcement LearningWhere a hot new research sub-field is going in RL.
InTDS ArchivebyNathan Lambert·Jan 9, 2021Free Will & Artificial General Intelligence (AGI)Lessons about AI from lessons about our mind. Focused on the nature of free will.
InTDS ArchivebyNathan Lambert·Dec 15, 2020Robotics and Deep Reinforcement Learning at Neural Information Processing Systems (NeurIPS) 2020What the premier machine learning conference has on show with robotics and reinforcement learning.
InTDS ArchivebyNathan Lambert·Nov 8, 2020Constructing Axes for Reinforcement Learning PolicyA small step into the research community’s most opaque framework.A response icon1A response icon1