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)
ReinforcementLearning.jl
A reinforcement learning package for Julia (by JuliaReinforcementLearning)
| tiny-differentiable-simulator | ReinforcementLearning.jl | |
|---|---|---|
| 6 | 2 | |
| 1,148 | 566 | |
| 0.3% | 1.6% | |
| 1.6 | 8.7 | |
| 12 months ago | 14 days ago | |
| C++ | Julia | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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
ReinforcementLearning.jl
Posts with mentions or reviews of ReinforcementLearning.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-23.
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What framework would you recommend to build a Tetris game AI using reinforcement learning?
I has a look to Julia too. There are nice tools build by JuliaDynamics. I.e. Agents.jl for agent based modeling. It handles collisions. There is also a framework for reinforcement learning. Also for Genetic Algorithms. Then I found a set of libraries related to Geometry. But it seems to be a lot of work to put that together for my use case.
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Any tutorial on how to create RL C++ environments?
And I know it's another language, but Julia has made significant strides in their RL packages and are pretty easy to integrate with Python
What are some alternatives?
When comparing tiny-differentiable-simulator and ReinforcementLearning.jl you can also consider the following projects:
brax - Massively parallel rigidbody physics simulation on accelerator hardware.
Agents.jl - Agent-based modeling framework in Julia
tiny-differentiable-simul
NetLogo - turtles, patches, and links for kids, teachers, and scientists
optick - C++ Profiler For Games
procgen - Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
roadmap - GitHub public roadmap
RustyNEAT - Rust implementation of NEAT algorithm (HyperNEAT + ES-HyperNEAT + NoveltySearch + CTRNN + L-systems)
julia - The Julia Programming Language
tiny-differentiable-simulator vs brax
ReinforcementLearning.jl vs Agents.jl
tiny-differentiable-simulator vs tiny-differentiable-simul
ReinforcementLearning.jl vs NetLogo
tiny-differentiable-simulator vs optick
ReinforcementLearning.jl vs procgen
tiny-differentiable-simulator vs roadmap
ReinforcementLearning.jl vs RustyNEAT
tiny-differentiable-simulator vs RustyNEAT
ReinforcementLearning.jl vs brax
tiny-differentiable-simulator vs procgen
ReinforcementLearning.jl vs julia