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Hi!
Are there any plans to implement the construction of stochastic models (SDEs, jump systems for continuous systems, Markov models for discrete time systems)?
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Pose a question about one of the following articles:
“[Human-level control through deep reinforcement learning](https://www.nature.com/articles/nature14236)” 2015. V. Mnih...D. Hassabis. Nature 51…
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# SUMMARY
The Modelica language is nicely positioned as a _lingua franca_ to describe dynamic systems accross many domains. Unfortunately, Modelica's strong ties to the SI system of units are inhib…
gwr69 updated
11 months ago
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
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I redid the calculations for the exact solution and did a simple test case with 600000 fake samples in 4 TIS ensembles and using pymbar and my formula to compute the `f_k` "free_energies" of the ensem…
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Hello Devs,
I have a question on how exactly the equations of motion are solved by PhysX.
The reason I'm interested in these details is a comparison between Matlab and the Games Engine Unity for r…
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I hope on using DART for simulating the gaite of laminated robots. While DART solves the joint values almost perfectly, the mesh collision is really terrible. I suspect that some of these meshes are s…
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## Proposal Review
**Reviewer**: Professor Baker
**Date**: March 9, 2022
### Section 1 - Introduction:
The introduction should introduce your general research question and your data (where it…
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Hi @fltwr thanks for sharing such fantastic work!
`test.ipynb` shows how to use the
- Motion model which use VAE + U-Net diffusion to produce frame spectrum
- Frame Synthesis model which use S…
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Hello:
I would like to ask why I need to execute several lines when solving mpc
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for i in range(N):
x_l.append(solver.get(i, "x"))
params = learned_dyn_model.get_params(np…