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Blog - imbue
imbue.com
Nicklas Hansen, UCSD: On long-horizon planning and why algorithms don't drive research progressPodcastDecember 16, 2022Read more
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182w
182 weeks ago
Actions for Nicklas Hansen, UCSD: On long-horizon planning and why algorithms don't drive research progressPodcastDecember 16, 2022Read more
Jack Parker-Holder, DeepMind: On open-endedness, evolving agents and environments, online adaptation, and offline learningPodcastDecember 6, 2022Read more
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183w
183 weeks ago
Actions for Jack Parker-Holder, DeepMind: On open-endedness, evolving agents and environments, online adaptation, and offline learningPodcastDecember 6, 2022Read more
Celeste Kidd, UC Berkeley: On attention and curiosity, how we form beliefs, and where certainty comes fromPodcastNovember 22, 2022Read more
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185w
185 weeks ago
Actions for Celeste Kidd, UC Berkeley: On attention and curiosity, how we form beliefs, and where certainty comes fromPodcastNovember 22, 2022Read more
Archit Sharma, Stanford: On unsupervised and autonomous reinforcement learningPodcastNovember 17, 2022Read more
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186w
186 weeks ago
Actions for Archit Sharma, Stanford: On unsupervised and autonomous reinforcement learningPodcastNovember 17, 2022Read more
Chelsea Finn, Stanford: On the biggest bottlenecks in robotics and reinforcement learningPodcastNovember 3, 2022Read more
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188w
188 weeks ago
Actions for Chelsea Finn, Stanford: On the biggest bottlenecks in robotics and reinforcement learningPodcastNovember 3, 2022Read more
Hattie Zhou, Mila: On supermasks, iterative learning, and fortuitous forgettingPodcastOctober 14, 2022Read more
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191w
191 weeks ago
Actions for Hattie Zhou, Mila: On supermasks, iterative learning, and fortuitous forgettingPodcastOctober 14, 2022Read more
Minqi Jiang, UCL: On environment and curriculum design for general RL agentsPodcastJuly 19, 2022Read more
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203w
203 weeks ago
Actions for Minqi Jiang, UCL: On environment and curriculum design for general RL agentsPodcastJuly 19, 2022Read more
Oleh Rybkin, UPenn: On exploration and planning with world modelsPodcastJuly 11, 2022Read more
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204w
204 weeks ago
Actions for Oleh Rybkin, UPenn: On exploration and planning with world modelsPodcastJuly 11, 2022Read more
VICReg: Tutorial and lightweight PyTorch implementationResearchApril 21, 2022Read more
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216w
216 weeks ago
Actions for VICReg: Tutorial and lightweight PyTorch implementationResearchApril 21, 2022Read more
A PyTorch implementation of SIMONeResearchApril 14, 2022Read more
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217w
217 weeks ago
Actions for A PyTorch implementation of SIMONeResearchApril 14, 2022Read more
Andrew Lampinen, DeepMind: On symbolic behavior, mental time travel, and insights from psychologyPodcastFebruary 28, 2022Read more
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223w
223 weeks ago
Actions for Andrew Lampinen, DeepMind: On symbolic behavior, mental time travel, and insights from psychologyPodcastFebruary 28, 2022Read more
Yilun Du, MIT: On energy-based models, implicit functions, and modularityPodcastDecember 21, 2021Read more
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233w
233 weeks ago
Actions for Yilun Du, MIT: On energy-based models, implicit functions, and modularityPodcastDecember 21, 2021Read more
Martin Arjovsky, INRIA: On benchmarks for robustness and geometric information theoryPodcastOctober 14, 2021Read more
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243w
243 weeks ago
Actions for Martin Arjovsky, INRIA: On benchmarks for robustness and geometric information theoryPodcastOctober 14, 2021Read more
Jupyter Ascending: Sync notebooks to your editorResearchOctober 14, 2021Read more
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243w
243 weeks ago
Actions for Jupyter Ascending: Sync notebooks to your editorResearchOctober 14, 2021Read more
Yash Sharma, MPI-IS: On generalizability, causality, and disentanglementPodcastSeptember 24, 2021Read more
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246w
246 weeks ago
Actions for Yash Sharma, MPI-IS: On generalizability, causality, and disentanglementPodcastSeptember 24, 2021Read more
Jonathan Frankle, MIT: On the lottery ticket hypothesis and the science of deep learning PodcastJune 1, 2021Read more
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248w
248 weeks ago
Actions for Jonathan Frankle, MIT: On the lottery ticket hypothesis and the science of deep learning PodcastJune 1, 2021Read more
Jacob Steinhardt, UC Berkeley: On machine learning safety, alignment and measurement PodcastJune 17, 2021Read more
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260w
260 weeks ago
Actions for Jacob Steinhardt, UC Berkeley: On machine learning safety, alignment and measurement PodcastJune 17, 2021Read more
Vincent Sitzmann, MIT: On neural scene representations for computer vision and more general AIPodcastMay 19, 2021Read more
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264w
264 weeks ago
Actions for Vincent Sitzmann, MIT: On neural scene representations for computer vision and more general AIPodcastMay 19, 2021Read more
Dylan Hadfield-Menell, UC Berkeley/MIT: On the value alignment problem in AIPodcastMay 11, 2021Read more
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265w
265 weeks ago
Actions for Dylan Hadfield-Menell, UC Berkeley/MIT: On the value alignment problem in AIPodcastMay 11, 2021Read more
Drew Linsley, Brown: On inductive biases for vision and generalizationPodcastApril 1, 2021Read more
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271w
271 weeks ago
Actions for Drew Linsley, Brown: On inductive biases for vision and generalizationPodcastApril 1, 2021Read more
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