RustyNEAT
Rust implementation of NEAT algorithm (HyperNEAT + ES-HyperNEAT + NoveltySearch + CTRNN + L-systems) (by aleksander-mendoza)
tiny-differentiable-simulator
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies. (by erwincoumans)
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| RustyNEAT | tiny-differentiable-simulator | |
|---|---|---|
| 2 | 6 | |
| 0 | 1,148 | |
| - | 0.9% | |
| 7.8 | 1.6 | |
| over 2 years ago | 12 months ago | |
| Rust | C++ | |
| - | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RustyNEAT
Posts with mentions or reviews of RustyNEAT.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-05.
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Any tutorial on how to create RL C++ environments?
If you want to really speed up your environment several orders of magnitude, you can implement it in cuda/vulkan /opencl. Here is an example of what I did in vulkan https://mobile.twitter.com/MendozaDrosik It allows me to stimulate thousands of agents in parallel. Works wonders especially if you want to use genetic algorithms. If you're interested, I might make python bindings to my minecraft environment. If you write in rust (like I do), then you can add python bindings very easily with PyO3. This is what I did here https://github.com/aleksander-mendoza/RustyNEAT/blob/main/rusty_neat_quick_guide.py (it's GPU accelerated implementation of NEAT algorithm)
- Would I be able to train basic deep RL models on the m1 MacBook Air?
tiny-differentiable-simulator
Posts with mentions or reviews of tiny-differentiable-simulator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
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Brax vs TDS for differentiable rigid body dynamics
I need differentiable rigid body dynamics because I want to do nonlinear MPC. One library that can do this is C++ is Tiny Differentiable Simulator https://github.com/erwincoumans/tiny-differentiable-simulator. As I understand it, this software uses a C++ auto-diff library and code generation to create CUDA kernels to compute fast derivatives in parallel. This seems pretty fast because it's C++. Another option is Brax https://github.com/google/brax. Brax uses JAX which I've never used, but from what I've seen online, JAX is popular for researchers and probably very good.
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GitHub Actions by Example
https://github.com/google-research/tiny-differentiable-simul...
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Optick: C++ Profiler for Games
Yes, Chrome about://tracing is great to visualize your custom timing data. Happy used for the last 5 years in Bullet and recent physics engines, including events across tracing multiple threads:
https://github.com/google-research/tiny-differentiable-simul...
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Any tutorial on how to create RL C++ environments?
Or our C++ and CUDA Tiny Differentiable Simulator: https://github.com/google-research/tiny-differentiable-simulator
- I am new to Robotics. My first question is - Is MATLAB a important Programming language for Robotics?
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What Programming language/library to use for 3D visualisation of a robot arm?
Drake (and also tiny-differentiable-simulator that I know of) are using meshcat and it seems neat to me
What are some alternatives?
When comparing RustyNEAT and tiny-differentiable-simulator you can also consider the following projects:
brax - Massively parallel rigidbody physics simulation on accelerator hardware.
ReinforcementLearning.jl - A reinforcement learning package for Julia
tiny-differentiable-simul
procgen - Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
optick - C++ Profiler For Games
Numba - NumPy aware dynamic Python compiler using LLVM
roadmap - GitHub public roadmap
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
RustyNEAT vs brax
tiny-differentiable-simulator vs brax
RustyNEAT vs ReinforcementLearning.jl
tiny-differentiable-simulator vs tiny-differentiable-simul
RustyNEAT vs procgen
tiny-differentiable-simulator vs optick
RustyNEAT vs Numba
tiny-differentiable-simulator vs roadmap
RustyNEAT vs open_spiel
tiny-differentiable-simulator vs procgen
tiny-differentiable-simulator vs ReinforcementLearning.jl
tiny-differentiable-simulator vs Numba