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Create meshes comparable to both Noack et al (2003) and Sipp & Lebedev (2007). The latter has a much larger domain, but may be relatively slow and have higher resolution than is necessary for the pur…
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Currently we can load the rotor parameters inside Pinocchio, but they are not used anywhere in the algorithms.
As a result, forwardDynamics, and ImpulseDynamics are useless if you need the armature, …
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Erre kíváncsi lennék:
Exploring Weight Agnostic Neural Networks
Tuesday, August 27, 2019
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo
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Dear author,
Recently I have been reading your paper "TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning".At the same time, I downloaded the code o…
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Different ways for generating the reward have been provided in the velodyne_td3.py. The following way is used finally and the other ways are commented out. I noticed that this way of generating reward…
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**Original article:** A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity
**PDF URL:** https://github.com/rsankar9/Reimplementation-SUPERTREX/blob/main/ReScience_submiss…
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Hello,
The report link in Readme.md is broken, it'd be great to me and future readers if it's updated to read how the algorithm works.
Thanks.
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Is there any way to save teacher behavior, and then use the saved file for imitation learning?
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Implementing the class without the DF parameter will allow this to be re-used in other contexts without being re-initialized.
This could be useful in designing backtesting.
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Hello,
since pybullet is now on bullet3, is gpu compute supported? The documentation is not clear on this. We are working on a scientific paper about a simulation benchmark, comparing different simul…