Published on: 2025-04-29 14:54:51
Monte Carlo Crash Course Sampling In the previous chapter, we assumed that we can uniformly randomly sample our domain. However, it’s not obvious how to actually do so—in fact, how can a deterministic computer even generate random numbers? Pseudo-Random Numbers Fortunately, Monte Carlo methods don’t need truly random numbers. Instead, we can use a pseudo-random number generator (PRNG). A PRNG produces a deterministic stream of numbers that look uniformly random: By “look uniformly random,”
Keywords: f_ frac mathbf mathcal omega
Find related items on AmazonPublished on: 2025-07-13 09:41:23
@ Conference on Robot Learning (CoRL) 2023 @inproceedings{robopianist2023, author = {Zakka, Kevin and Wu, Philipp and Smith, Laura and Gileadi, Nimrod and Howell, Taylor and Peng, Xue Bin and Singh, Sumeet and Tassa, Yuval and Florence, Pete and Zeng, Andy and Abbeel, Pieter}, title = {RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning}, booktitle = {Conference on Robot Learning (CoRL)}, year = {2023}, } TLDR We train anthropomorphic robot hands to play the piano using deep
Keywords: agent fingering mathcal piano reward
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