Alex @_Alefram_
In my free time I like to learn about Robotics alefram.github.io 🌎 Joined March 2020-
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While learning various algorithms, the visualization plays a significant role in grasping the concepts easily. The algorithm-visualizer.org is an excellent resource with amazing collections of algorithms.
📣 #MuJoCo Announcement 📣 : MuJoCo Warp is now available in MJX for all MuJoCo Playground environments, achieving up to 2x speedup in more complex contact-rich scenes. Check it out and have fun! @GoogleDeepMind Robotics github.com/google-deepmin…
A team at DeepMind wrote this solid piece on how you must think about GPUs. Essential for AI engineers and researchers.
LLM inference engine using C++ and CUDA from scratch without libraries. andrewkchan.dev/posts/yalm.html
July has been a big month for Viser! - Released v1.0.0😊 - We did some writing Some demos👇
Tip: To improve AI coding, don’t just jump straight into tasks without planning. Planning first makes a big difference, as does managing context. 🧵👇 1. AI tools thrive on structure. When you start with a clear spec, you guide the model’s reasoning. One good spec often…
Improving CUDA Optimization via Contrastive Reinforcement Learning
13 sessions covering everything from GPU basics to advanced optimization: CUDA C++ fundamentals Memory management & optimization Multi-threading with streams Performance debugging Cooperative groups
A free guide to data structures & algorithms in Python: bit.ly/43kQr5S
RAPTOR: RAPid and Robust Trajectory Optimization for Robots github.com/roahmlab/RAPTOR
Want to learn CUDA C++? Take our modern CUDA C++ course at GTC Paris on June 12! You'll learn how GPUs work, how to use GPU libraries, when and how to write kernels, & how to profile and optimize your code. It's all hands-on with web-based exercises. nvda.ws/4mDJpkf
Excited to introduce PyRoki ("Python Robot Kinematics"): easier IK, trajectory optimization, motion retargeting... with an open-source toolkit on both CPU and GPU
The MuJoCo model of the ORCA hand is now officially released on our orcahand_description repo! Check it out and stay tuned for more ;) github.com/orcahand/orcah…
How do you tune the hyperparameters of your RL agent? 🤔 Come and chat with me about it tomorrow afternoon at poster 397 of @iclr_conf ! I will be presenting⚡️ Adaptive Q-Network⚡️a method that adaptively selects the hyperparameters of your RL agent during training 🔥
🌹 Today we're releasing Unifloral, our new library for Offline Reinforcement Learning! We make research easy: ⚛️ Single-file 🤏 Minimal ⚡️ End-to-end Jax Best of all, we unify prior methods into one algorithm - a single hyperparameter space for research! ⤵️
Omg love it🤖
que epico esto
Want to write high quality GPU software? We're launching a new CUDA curriculum for all skill levels at GTC next week! There are dozens of talks, tutorials & notebooks to teach you modern GPU programming. Much of it will be made public - links in thread. nvidia.com/gtc/sessions/c…
Basics of Deep RL tutorial I am still very happy with, as good a day as any to re-post :) youtube.com/playlist?list=…

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